Podcasts about github copilot

This week on Azure Friday, Scott Hanselman meets with Jan Kalis to demo Azure Code Optimizations for .NET. See how Azure's AI-driven capabilities help you find real-world performance issues in your apps, ground Copilot suggestions with production data, and even help auto-generate PRs with benchmarked code fixes with GitHub Copilot software agent. Watch the live demo and learn how to level up your .NET performance using insights for your running .NET applications on Azure! Chapters 00:00 - Introduction 00:32 - See how Code Optimizations helps improve app performance 03:00 - Demo – part 1 – Review your Code Optimizations on Azure portal 06:20 - Demo – part 2 – Optimize code with GH Copilot for Azure in VS Code 10:16 - Demo – part 3 – Move faster from insights to PR with GH Copilot software agent Recommended resources Check your Code Optimizations recommendations Documentation Feedback Connect Scott Hanselman | Twitter/X: @SHanselman Jan Kalis | LinkedIn: Jan Kalis Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

This week on Azure Friday, Scott Hanselman meets with Jan Kalis to demo Azure Code Optimizations for .NET. See how Azure's AI-driven capabilities help you find real-world performance issues in your apps, ground Copilot suggestions with production data, and even help auto-generate PRs with benchmarked code fixes with GitHub Copilot software agent. Watch the live demo and learn how to level up your .NET performance using insights for your running .NET applications on Azure! Chapters 00:00 - Introduction 00:32 - See how Code Optimizations helps improve app performance 03:00 - Demo – part 1 – Review your Code Optimizations on Azure portal 06:20 - Demo – part 2 – Optimize code with GH Copilot for Azure in VS Code 10:16 - Demo – part 3 – Move faster from insights to PR with GH Copilot software agent Recommended resources Check your Code Optimizations recommendations Documentation Feedback Connect Scott Hanselman | Twitter/X: @SHanselman Jan Kalis | LinkedIn: Jan Kalis Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Hoe zorg je ervoor dat jouw development team AI-coding écht omarmt? In aflevering #192 ging het over AI-coding zelf, maar nu gaan we net een stapje verder! In deze aflevering van de Product Owner Podcast spreekt Ruud met Joost, Developer Experience & Tooling Specialist bij Navara. Met zijn achtergrond als test engineer weet hij als geen ander hoe belangrijk kwaliteit, vertrouwen en adoptie zijn bij het introduceren van nieuwe tools zoals GitHub Copilot. Ze bespreken hoe je AI-coding succesvol introduceert in je organisatie, wat de valkuilen zijn, en waarom het menselijke aspect in coderen onmisbaar blijft. Ook hoor je hoe je met een hackathon op vibe coding direct waarde kunt creëren én betrokkenheid vergroot. In deze aflevering hebben we het over: ai-coding, vibe coding, adoptie, change management, github, copilot, cursor, product owners, prototypen Over deze podcast: Deze aflevering is onderdeel van de speciale reeks ‘AI in Product Development', onderdeel van de Product Owner podcast. In de Product Owner podcast spreken we elke week met een interessante gast uit de wereld van product management en gaan we in op echte ervaringen, lessen en tactieken van product owners, ondernemers en specialisten. De Product Owner podcast is een initiatief van productowner.nl

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In deze aflevering van de Product Owner Podcast duiken we in AI-coding. Tools zoals GitHub Copilot en Cursor maken het mogelijk om sneller, slimmer en met minder fouten te programmeren. Maar levert het ook écht de beloofde 55% tijdwinst op? Ruud spreekt met Martijn, Software Engineer bij Navara én AI-coding enthousiast. Ze bespreken de impact van AI op het ontwikkelproces, de risico's, de kwaliteit van de gegenereerde code en de rol van testing. Ook hoor je of elke developer zomaar met AI-coding aan de slag kan en wat dat betekent voor de samenwerking met product owners. Een aflevering vol inzichten, praktijkvoorbeelden en vooruitblik op de toekomst van AI in product development. In deze aflevering hebben we het over: ai-coding, vibe coding, ai, product development, github, cursor, engineer, ai enginering Over deze podcast: Deze aflevering is onderdeel van de speciale reeks ‘AI in Product Development', onderdeel van de Product Owner podcast. In de Product Owner podcast spreken we elke week met een interessante gast uit de wereld van product management en gaan we in op echte ervaringen, lessen en tactieken van product owners, ondernemers en specialisten. De Product Owner podcast is een initiatief van productowner.nl

En este episodio del podcast 'Declarando Variables', Jhonny y Karen discuten las novedades en el mundo del desarrollo, centrándose en el lanzamiento de GPT-5, sus características y consejos para su uso en programación. También comparten experiencias con GitHub Copilot y la nueva herramienta Comet, un navegador con inteligencia artificial integrada. A lo largo de la conversación, reflexionan sobre el futuro de la IA y las herramientas de desarrollo, así como los cambios en GitHub y su liderazgo.TakeawaysGPT-5 fue lanzado el 7 de agosto con nuevas características.Es importante ser preciso al usar GPT-5 para evitar conflictos de información.GitHub Copilot ha mejorado la productividad en tareas de desarrollo.El CEO de GitHub renunció, lo que podría traer cambios significativos.Comet es un nuevo navegador que integra IA para facilitar tareas.La IA puede ayudar a resumir información de correos y documentos.Es esencial verificar la zona horaria al agendar reuniones con IA.Las herramientas de IA deben ser probadas para entender su utilidad.El uso de prompts específicos mejora la interacción con la IA.La competencia en el mercado de IA es saludable y promueve la innovación.Notas del Episodio:https://cdn.openai.com/API/docs/gpt-5-for-coding-cheatsheet.pdfhttps://www.perplexity.ai/es/hub/blog/introducing-comet-plusContáctame: https://linktr.ee/jhonnyventiadesChapters00:00 Introducción y novedades del mes02:21 Lanzamiento de GPT-5 y sus características05:56 Uso de GPT-5 en desarrollo y análisis de datos09:31 Consejos para utilizar GPT-5 en programación15:17 Experiencias con GitHub Copilot y herramientas de IA20:26 Novedades en GitHub y cambios en liderazgo28:04 Colaboración y Herramientas en Motorola29:43 Navegadores Innovadores: Comet y sus Características34:54 Comet: Un Navegador con IA para Desarrolladores40:03 Asistente de IA: Aprendizaje y Personalización45:29 Tareas Puntuales y Automatización con Comet50:19 Comparativa: Comet vs Gemini y Otras Herramientas56:02 Reflexiones Finales y Futuro de la Tecnología

In this edition of the Web News, Matt and Mike discuss Coinbase CEO Brian Armstrong's controversial decision to fire engineers who refused to adopt AI tools like GitHub Copilot and Cursor. After purchasing enterprise licenses, Armstrong gave employees just one week to integrate the tools into their workflows, even holding a Saturday meeting to enforce compliance. Was this “heavy-handed” approach justified, or did it cross the line? We break down the story, explore the ethics of forcing AI adoption, and consider what this means for the future of engineering culture. Show Notes: https://www.htmlallthethings.com/podcast/was-the-coinbase-ceo-too-harsh-ai-firings

Is the AI industry an unsustainable bubble built on burning billions in cash? We break down the AI hype cycle, the tough job market for developers, and whether a crash is on the horizon. In this panel discussion with Josh Goldberg, Paige Niedringhaus, Paul Mikulskis, and Noel Minchow, we tackle the biggest questions in tech today. * We debate if AI is just another Web3-style hype cycle * Why the "10x AI engineer" is a myth that ignores the reality of software development * The ethical controversy around AI crawlers and data scraping, highlighted by Cloudflare's recent actions Plus, we cover the latest industry news, including Vercel's powerful new AI SDK V5 and what GitHub's leadership shakeup means for the future of developers. Resources Anthropic Is Bleeding Out: https://www.wheresyoured.at/anthropic-is-bleeding-out The Hater's Guide To The AI Bubble: https://www.wheresyoured.at/the-haters-gui No, AI is not Making Engineers 10x as Productive: https://colton.dev/blog/curing-your-ai-10x-engineer-imposter-syndrome Cloudflare Is Blocking AI Crawlers by Default: https://www.wired.com/story/cloudflare-blocks-ai-crawlers-default Perplexity is using stealth, undeclared crawlers to evade website no-crawl directives: https://blog.cloudflare.com/perplexity-is-using-stealth-undeclared-crawlers-to-evade-website-no-crawl-directives GitHub just got less independent at Microsoft after CEO resignation: https://www.theverge.com/news/757461/microsoft-github-thomas-dohmke-resignation-coreai-team-transition Chapters 0:00 Is the AI Industry Burning Cash Unsustainably? 01:06 Anthropic and the "AI Bubble Euphoria" 04:42 How the AI Hype Cycle is Different from Web3 & VR 08:24 The Problem with "Slapping AI" on Every App 11:54 The "10x AI Engineer" is a Myth and Why 17:55 Real-World AI Success Stories 21:26 Cloudflare vs. AI Crawlers: The Ethics of Data Scraping 30:05 Vercel's New AI SDK V5: What's Changed? 33:45 GitHub's CEO Steps Down: What It Means for Developers 38:54 Hot Takes: The Future of AI Startups, the Job Market, and More We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr)

Organizations today face escalating cyber risks spanning state-sponsored attacks, supply chain compromises, and malicious apps. ShinyHunters' breaches of Salesforce platforms (impacting Google and Farmers Insurance) show how social engineering—like voice phishing—can exploit trusted vendors. Meanwhile, Russian actors (FSB-linked “Static Tundra”) continue to leverage old flaws, such as a seven-year-old Cisco Smart Install bug, to infiltrate U.S. infrastructure. Malicious apps on Google Play (e.g., Joker, Anatsa) reached millions of downloads before removal, proving attackers' success in disguising malware. New technologies bring fresh vectors: Perplexity's Comet browser allowed prompt injection–driven account hijacking, while malicious RDP scanning campaigns exploit timing to maximize credential theft.Responses vary between safeguarding and asserting control. The FTC warns U.S. firms against weakening encryption or enabling censorship under foreign pressure, citing legal liability. By contrast, Russia mandates state-backed apps like MAX Messenger and RuStore, raising surveillance concerns. Microsoft, facing leaks from its bug-sharing program, restricted exploit code access to higher-risk countries. Open-source projects like LibreOffice gain traction as sovereignty tools—privacy-first, telemetry-free, and free of vendor lock-in.AI-powered wearables such as Halo X smart glasses blur lines between utility and surveillance. Their ability to “always listen” and transcribe conversations augments human memory but erodes expectations of privacy. The founders' history with facial recognition raises additional misuse concerns. As AI integrates directly into conversation and daily life, the risks of pervasive recording, ownership disputes, and surveillance intensify.Platforms like Bluesky are strained by conflicting global regulations. Mississippi's HB 1126 requires universal age verification, fines for violations, and parental consent for minors. Lacking resources for such infrastructure, Bluesky withdrew service from the state. This illustrates the tension between regulatory compliance, resource limits, and preserving open user access.AI adoption is now a competitive imperative. Coinbase pushes aggressive integration, requiring engineers to embrace tools like GitHub Copilot or face dismissal. With one-third of its code already AI-generated, Coinbase aims for 50% by quarter's end, supported by “AI Speed Runs” for knowledge-sharing. Yet, rapid adoption risks employee dissatisfaction and AI-generated security flaws, underscoring the need for strict controls alongside innovation.Breaches at Farmers Insurance (1.1M customers exposed) and Google via Salesforce illustrate the scale of third-party risk. Attackers exploit trusted platforms and human error, compromising data across multiple organizations at once. This shows security depends not only on internal defenses but on continuous vendor vetting and monitoring.Governments often demand access that undermines encryption, privacy, and transparency. The FTC warns that backdoors or secret concessions—such as the UK's (later retracted) request for Apple to weaken iCloud—violate user trust and U.S. law. Meanwhile, Russia's mandatory domestic apps exemplify sovereignty used for surveillance. Companies face a global tug-of-war between privacy, compliance, and open internet principles.Exploited legacy flaws prove that vulnerabilities never expire. Cisco's years-old Smart Install bug, still unpatched in many systems, allows surveillance of critical U.S. sectors. Persistent RDP scanning further highlights attackers' patience and scale. The lesson is clear: proactive patching, continuous updates, and rigorous audits are essential. Cybersecurity demands ongoing vigilance against both emerging and legacy threats.

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

In this episode, Carlos Gonzalez de Villaumbrosia interviews Inbal Shani, Chief Product Officer at Twilio, the $18B customer engagement powerhouse trusted by over 320,000 businesses worldwide.Inbal is a trailblazer in AI-first product development. Before joining Twilio, she led the launch of GitHub Copilot—one of the most transformative AI tools for developers, reshaping how engineers write code. Now at Twilio, she's steering a product portfolio that infuses AI into the heart of customer communications, helping companies unlock smarter, more personalized digital experiences at scale.In this conversation, Inbal shares why successful AI adoption goes far beyond adding models to features—it requires a rethinking of product strategy itself. She also dives into how Twilio measures real business impact from AI, why PMs need technical fluency more than ever, and what it takes to lead a product org into the AI-native future.What you'll learn:- How GitHub Copilot shaped Inbal's approach to building AI-native products.- Why AI adoption alone is not a product strategy—and what to focus on instead.- The metrics Twilio uses to evaluate AI's business impact.- The evolving technical skill set required for PMs in the age of AI.Key Takeaways

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit

In this episode of Building Better Developers with AI, Rob Broadhead and Michael Meloche revisit an earlier conversation: “Building a Strong Developer Toolkit – Enhancing Skills and Productivity.” This time, they explore how AI and modern practices shape the discussion. The takeaway: enhancing developer productivity isn't just about tools—it's about habits, problem-solving, and continuous growth.

Join hosts Lois Houston and Nikita Abraham, along with Principal AI/ML Instructor Himanshu Raj, as they discuss the transformative world of Generative AI. Together, they uncover the ways in which generative AI agents are changing the way we interact with technology, automating tasks and delivering new possibilities.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/252500   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead of Editorial Services.   Nikita: Hi everyone! Last week was Part 2 of our conversation on core AI concepts, where we went over the basics of data science. In Part 3 today, we'll look at generative AI and gen AI agents in detail. To help us with that, we have Himanshu Raj, Principal AI/ML Instructor. Hi Himanshu, what's the difference between traditional AI and generative AI?  01:01 Himanshu: So until now, when we talked about artificial intelligence, we usually meant models that could analyze information and make decisions based on it, like a judge who looks at evidence and gives a verdict. And that's what we call traditional AI that's focused on analysis, classification, and prediction.  But with generative AI, something remarkable happens. Generative AI does not just evaluate. It creates. It's more like a storyteller who uses knowledge from the past to imagine and build something brand new. For example, instead of just detecting if an email is spam, generative AI could write an entirely new email for you.  Another example, traditional AI might predict what a photo contains. Generative AI, on the other hand, creates a brand-new photo based on description. Generative AI refers to artificial intelligence models that can create entirely new content, such as text, images, music, code, or video that resembles human-made work.  Instead of simple analyzing or predicting, generative AI produces something original that resembles what a human might create.   02:16 Lois: How did traditional AI progress to the generative AI we know today?  Himanshu: First, we will look at small supervised learning. So in early days, AI models were trained on small labeled data sets. For example, we could train a model with a few thousand emails labeled spam or not spam. The model would learn simple decision boundaries. If email contains, "congratulations," it might be spam. This was efficient for a straightforward task, but it struggled with anything more complex.  Then, comes the large supervised learning. As the internet exploded, massive data sets became available, so millions of images, billions of text snippets, and models got better because they had much more data and stronger compute power and thanks to advances, like GPUs, and cloud computing, for example, training a model on millions of product reviews to predict customer sentiment, positive or negative, or to classify thousands of images in cars, dogs, planes, etc.  Models became more sophisticated, capturing deeper patterns rather than simple rules. And then, generative AI came into the picture, and we eventually reached a point where instead of just classifying or predicting, models could generate entirely new content.  Generative AI models like ChatGPT or GitHub Copilot are trained on enormous data sets, not to simply answer a yes or no, but to create outputs that look and feel like human made. Instead of judging the spam or sentiment, now the model can write an article, compose a song, or paint a picture, or generate new software code.  03:55 Nikita: Himanshu, what motivated this sort of progression?   Himanshu: Because of the three reasons. First one, data, we had way more of it thanks to the internet, smartphones, and social media. Second is compute. Graphics cards, GPUs, parallel computing, and cloud systems made it cheap and fast to train giant models.  And third, and most important is ambition. Humans always wanted machines not just to judge existing data, but to create new knowledge, art, and ideas.   04:25 Lois: So, what's happening behind the scenes? How is gen AI making these things happen?  Himanshu: Generative AI is about creating entirely new things across different domains. On one side, we have large language models or LLMs.  They are masters of generating text conversations, stories, emails, and even code. And on the other side, we have diffusion models. They are the creative artists of AI, turning text prompts into detailed images, paintings, or even videos.  And these two together are like two different specialists. The LLM acts like a brain that understands and talks, and the diffusion model acts like an artist that paints based on the instructions. And when we connect these spaces together, we create something called multimodal AI, systems that can take in text and produce images, audio, or other media, opening a whole new range of possibilities.  It can not only take the text, but also deal in different media options. So today when we say ChatGPT or Gemini, they can generate images, and it's not just one model doing everything. These are specialized systems working together behind the scenes.  05:38 Lois: You mentioned large language models and how they power text-based gen AI, so let's talk more about them. Himanshu, what is an LLM and how does it work?  Himanshu: So it's a probabilistic model of text, which means, it tries to predict what word is most likely to come next based on what came before.  This ability to predict one word at a time intelligently is what builds full sentences, paragraphs, and even stories.  06:06 Nikita: But what's large about this? Why's it called a large language model?   Himanshu: It simply means the model has lots and lots of parameters. And think of parameters as adjustable dials the model fine tuned during learning.  There is no strict rule, but today, large models can have billions or even trillions of these parameters. And the more the parameters, more complex patterns, the model can understand and can generate a language better, more like human.  06:37 Nikita: Ok… and image-based generative AI is powered by diffusion models, right? How do they work?  Himanshu: Diffusion models start with something that looks like pure random noise.  Imagine static on an old TV screen. No meaningful image at all. From there, the model carefully removes noise step by step to create something more meaningful and think of it like sculpting a statue. You start with a rough block of stone and slowly, carefully you chisel away to reveal a beautiful sculpture hidden inside.  And in each step of this process, the AI is making an educated guess based on everything it has learned from millions of real images. It's trying to predict.   07:24 Stay current by taking the 2025 Oracle Fusion Cloud Applications Delta Certifications. This is your chance to demonstrate your understanding of the latest features and prove your expertise by obtaining a globally recognized certification, all for free! Discover the certification paths, use the resources on MyLearn to prepare, and future-proof your skills. Get started now at mylearn.oracle.com.  07:53 Nikita: Welcome back! Himanshu, for most of us, our experience with generative AI is with text-based tools like ChatGPT. But I'm sure the uses go far beyond that, right? Can you walk us through some of them?  Himanshu: First one is text generation. So we can talk about chatbots, which are now capable of handling nuanced customer queries in banking travel and retail, saving companies hours of support time. Think of a bank chatbot helping a customer understand mortgage options or virtual HR Assistant in a large company, handling leave request. You can have embedding models which powers smart search systems.  Instead of searching by keywords, businesses can now search by meaning. For instance, a legal firm can search cases about contract violations in tech and get semantically relevant results, even if those exact words are not used in the documents.  The third one, for example, code generation, tools like GitHub Copilot help developers write boilerplate or even functional code, accelerating software development, especially in routine or repetitive tasks. Imagine writing a waveform with just a few prompts.  The second application, is image generation. So first obvious use is art. So designers and marketers can generate creative concepts instantly. Say, you need illustrations for a campaign on future cities. Generative AI can produce dozens of stylized visuals in minutes.  For design, interior designers or architects use it to visualize room layouts or design ideas even before a blueprint is finalized. And realistic images, retail companies generate images of people wearing their clothing items without needing real models or photoshoots, and this reduces the cost and increase the personalization.  Third application is multimodal systems, and these are combined systems that take one kind of input or a combination of different inputs and produce different kind of outputs, or can even combine various kinds, be it text image in both input and output.  Text to image It's being used in e-commerce, movie concept art, and educational content creation. For text to video, this is still in early days, but imagine creating a product explainer video just by typing out the script. Marketing teams love this for quick turnarounds. And the last one is text to audio.  Tools like ElevenLabs can convert text into realistic, human like voiceovers useful in training modules, audiobooks, and accessibility apps. So generative AI is no longer just a technical tool. It's becoming a creative copilot across departments, whether it's marketing, design, product support, and even operations.  10:42 Lois: That's great! So, we've established that generative AI is pretty powerful. But what kind of risks does it pose for businesses and society in general?  Himanshu: The first one is deepfakes. Generative AI can create fake but highly realistic media, video, audios or even faces that look and sound authentic.  Imagine a fake video of a political leader announcing a policy, they never approved. This could cause mass confusion or even impact elections. In case of business, deepfakes can be also used in scams where a CEO's voice is faked to approve fraudulent transactions.  Number two, bias, if AI is trained on biased historical data, it can reinforce stereotypes even when unintended. For example, a hiring AI system that favors male candidates over equally qualified women because of historical data was biased.  And this bias can expose companies to discrimination, lawsuits, brand damage and ethical concerns. Number three is hallucinations. So sometimes AI system confidently generate information that is completely wrong without realizing it.   Sometimes you ask a chatbot for a legal case summary, and it gives you a very convincing but entirely made up court ruling. In case of business impact, sectors like health care, finance, or law hallucinations can or could have serious or even dangerous consequences if not caught.  The fourth one is copyright and IP issues, generative AI creates new content, but often, based on material it was trained on. Who owns a new work? A real life example could be where an artist finds their unique style was copied by an AI that was trained on their paintings without permission.  In case of a business impact, companies using AI-generated content for marketing, branding or product designs must watch for legal gray areas around copyright and intellectual properties. So generative AI is not just a technology conversation, it's a responsibility conversation. Businesses must innovate and protect.  Creativity and caution must go together.   12:50 Nikita: Let's move on to generative AI agents. How is a generative AI agent different from just a chatbot or a basic AI tool?  Himanshu: So think of it like a smart assistant, not just answering your questions, but also taking actions on your behalf. So you don't just ask, what's the best flight to Vegas? Instead, you tell the agent, book me a flight to Vegas and a room at the Hilton. And it goes ahead, understands that, finds the options, connects to the booking tools, and gets it done.   So act on your behalf using goals, context, and tools, often with a degree of autonomy. Goals, are user defined outcomes. Example, I want to fly to Vegas and stay at Hilton. Context, this includes preferences history, constraints like economy class only or don't book for Mondays.  Tools could be APIs, databases, or services it can call, such as a travel API or a company calendar. And together, they let the agent reason, plan, and act.   14:02 Nikita: How does a gen AI agent work under the hood?  Himanshu: So usually, they go through four stages. First, one is understands and interprets your request like natural language understanding. Second, figure out what needs to be done, in this case flight booking plus hotel search.  Third, retrieves data or connects to tools APIs if needed, such as Skyscanner, Expedia, or a Calendar. And fourth is takes action. That means confirming the booking and giving you a response like your travel is booked. Keep in mind not all gen AI agents are fully independent.  14:38 Lois: Himanshu, we've seen people use the terms generative AI agents and agentic AI interchangeably. What's the difference between the two?  Himanshu: Agentic AI is a broad umbrella. It refers to any AI system that can perceive, reason, plan, and act toward a goal and may improve and adapt over time.   Most gen AI agents are reactive, not proactive. On the other hand, agentic AI can plan ahead, anticipate problems, and can even adjust strategies.  So gen AI agents are often semi-autonomous. They act in predefined ways or with human approval. Agentic systems can range from low to full autonomy. For example, auto-GPT runs loops without user prompts and autonomous car decides routes and reactions.  Most gen AI agents can only make multiple steps if explicitly designed that way, like a step-by-step logic flows in LangChain. And in case of agentic AI, it can plan across multiple steps with evolving decisions.  On the memory and goal persistence, gen AI agents are typically stateless. That means they forget their goal unless you remind them. In case of agentic AI, these systems remember, adapt, and refine based on goal progression. For example, a warehouse robot optimizing delivery based on changing layouts.  Some generative AI agents are agentic, like auto GPT. They use LLMs to reason, plan, and act, but not all. And likewise not all agentic AIs are generative. For example, an autonomous car, which may use computer vision control systems and planning, but no generative models.  So agentic AI is a design philosophy or system behavior, which could be goal-driven, autonomous, and decision making. They can overlap, but as I said, not all generative AI agents are agentic, and not all agentic AI systems are generative.  16:39 Lois: What makes a generative AI agent actually work?  Himanshu: A gen AI agent isn't just about answering the question. It's about breaking down a user's goal, figuring out how to achieve it, and then executing that plan intelligently. These agents are built from five core components and each playing a critical role.  The first one is goal. So what is this agent trying to achieve? Think of this as the mission or intent. For example, if I tell the agent, help me organized a team meeting for Friday. So the goal in that case would be schedule a meeting.  Number 2, memory. What does it remember? So this is the agent's context awareness. Storing previous chats, preferences, or ongoing tasks. For example, if last week I said I prefer meetings in the afternoon or I have already shared my team's availability, the agent can reuse that. And without the memory, the agent behaves stateless like a typical chatbot that forgets context after every prompt.  Third is tools. What can it access? Agents aren't just smart, they are also connected. They can be given access to tools like calendars, CRMs, web APIs, spreadsheets, and so on.  The fourth one is planner. So how does it break down the goal? And this is where the reasoning happens. The planner breaks big goals into a step-by-step plans, for example checking team availability, drafting meeting invite, and then sending the invite. And then probably, will confirm the booking. Agents don't just guess. They reason and organize actions into a logical path.  And the fifth and final one is executor, who gets it done. And this is where the action takes place. The executor performs what the planner lays out. For example, calling APIs, sending message, booking reservations, and if planner is the architect, executor is the builder.   18:36 Nikita: And where are generative AI agents being used?  Himanshu: Generative AI agents aren't just abstract ideas, they are being used across business functions to eliminate repetitive work, improve consistency, and enable faster decision making. For marketing, a generative AI agent can search websites and social platforms to summarize competitor activity. They can draft content for newsletters or campaign briefs in your brand tone, and they can auto-generate email variations based on audience segment or engagement history.  For finance, a generative AI agent can auto-generate financial summaries and dashboards by pulling from ERP spreadsheets and BI tools. They can also draft variance analysis and budget reports tailored for different departments. They can scan regulations or policy documents to flag potential compliance risks or changes.  For sales, a generative AI agent can auto-draft personalized sales pitches based on customer behavior or past conversations. They can also log CRM entries automatically once submitting summary is generated. They can also generate battlecards or next-step recommendations based on the deal stage.  For human resource, a generative AI agent can pre-screen resumes based on job requirements. They can send interview invites and coordinate calendars. A common theme here is that generative AI agents help you scale your teams without scaling the headcount.   20:02 Nikita: Himanshu, let's talk about the capabilities and benefits of generative AI agents.  Himanshu: So generative AI agents are transforming how entire departments function. For example, in customer service, 24/7 AI agents handle first level queries, freeing humans for complex cases.  They also enhance the decision making. Agents can quickly analyze reports, summarize lengthy documents, or spot trends across data sets. For example, a finance agent reviewing Excel data can highlight cash flow anomalies or forecast trends faster than a team of analysts.  In case of personalization, the agents can deliver unique, tailored experiences without manual effort. For example, in marketing, agents generate personalized product emails based on each user's past behavior. For operational efficiency, they can reduce repetitive, low-value tasks. For example, an HR agent can screen hundreds of resumes, shortlist candidates, and auto-schedule interviews, saving HR team hours each week.  21:06 Lois: Ok. And what are the risks of using generative AI agents?  Himanshu: The first one is job displacement. Let's be honest, automation raises concerns. Roles involving repetitive tasks such as data entry, content sorting are at risk. In case of ethics and accountability, when an AI agent makes a mistake, who is responsible? For example, if an AI makes a biased hiring decision or gives incorrect medical guidance, businesses must ensure accountability and fairness.  For data privacy, agents often access sensitive data, for example employee records or customer history. If mishandled, it could lead to compliance violations. In case of hallucinations, agents may generate confident but incorrect outputs called hallucinations. This can often mislead users, especially in critical domains like health care, finance, or legal.  So generative AI agents aren't just tools, they are a force multiplier. But they need to be deployed thoughtfully with a human lens and strong guardrails. And that's how we ensure the benefits outweigh the risks.  22:10 Lois: Thank you so much, Himanshu, for educating us. We've had such a great time with you! If you want to learn more about the topics discussed today, head over to mylearn.oracle.com and get started on the AI for You course.  Nikita: Join us next week as we chat about AI workflows and tools. Until then, this is Nikita Abraham…  Lois: And Lois Houston signing off!  22:32 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

Today's guest is Jon Peppers, Principal Software Engineer on the .NET MAUI team at Microsoft. Before building developer tools, Jonathan was a Xamarin MVP and the lead developer behind various cross-platform Maui apps. With a deep background in C#, from WPF-based self-checkout systems to home automation software featured on Extreme Home Makeover, Jonathan brings a wealth of experience in both app development and the frameworks that power them.   Topics of Discussion: [1:59] Jonathan recounts his first job after college, working on C# for self-checkout software and migrating to WPF. [4:40] How much on the continuum are we right now with Copilot agent mode? [7:11]  The process of setting up Maui development, including installing Visual Studio and the Maui workload. [12:40] Using Copilot for multi-language debugging. [18:42]  Copilot's effectiveness in deleting unnecessary files and finding errors in string localization files. [19:10] Copilot coding agent. [21:20] The process of assigning issues to Copilot, which creates a branch, opens a pull request, and updates the description with its plan. [27:36]  The availability of different models in VS Code, including Claude and GPT, and the anticipation of new models being released. [31:36] The potential for using LLMs on-device for privacy concerns, especially in healthcare. [35:01] Jonathan encourages developers to try Copilot in their IDEs and explore its code completions and suggestions. [35:17] Jonathan's Cat Swipe dating site!   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum How the .NET Maui Team uses GitHub Copilot for Productivity Jonathan on LinkedIn Jonathan Peppers   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.  

Neste episódio do Cabeça de Lab, falamos sobre a chegada do GitHub Copilt ao LuizaLabs. Exploramos o que é a ferramenta, como foi o processo de implementação em larga escala e os desafios de automatizar a governança para milhares de desenvolvedores. Também discutimos os ganhos esperados em produtividade, qualidade de código e segurança, além de refletir sobre o impacto cultural do Copilot no dia a dia das equipes e no futuro do desenvolvimento de software.Se você quer entender como a inteligência artificial está transformando a forma de programar e como ela pode potencializar o trabalho dos devs, este episódio é para você. Dê o play e descubra os bastidores dessa jornada. Se você quer entender melhor como levar sua solução de IA generativa a outro nível, dê o play e descubra como os grafos podem turbinar a sua RAG.Edição completa por Rádiofobia Podcast e Multimídia: ⁠⁠https://radiofobia.com.br/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---Nos siga no Twitter e no Instagram: @luizalabs @cabecadelabDúvidas, cabeçadas e sugestões, mande e-mail para o cabecadelab@luizalabs.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ou uma DM no InstagramParticipantes: LIVIA FACCHIN | https://www.linkedin.com/in/lívia-facchin-43ab5b12HENRIQUE MITTER | https://www.linkedin.com/in/henriquemitterLUCAS DOURADO | https://www.linkedin.com/in/lucdouraRAISSA XAVIER | https://www.linkedin.com/in/raissaxavierANA CAROLINA FONSECA BARRETO | https://www.linkedin.com/in/anacarolinafonsecabarreto

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The single biggest predictor of success with AI isn't the model you choose, it's the DevOps culture you've already built. Martin Woodward, VP of Developer Relations at GitHub - and the sixth person to ever use Copilot - joins us to explain why this surprising insight is key to the new era of autonomous coding agents. He traces the evolution of GitHub Copilot from a simple autocomplete to a powerful agent that opens its own pull requests, arguing that AI's true power is as a massive accelerant for the iterative loops high-performing teams have already perfected.Martin explains that teams with strong guardrails for shipping quickly and safely are best equipped to leverage this AI revolution because they can trust the accelerated output. He also reveals how top teams use the key technique of custom instructions to guide Copilot toward writing the code of the future, not just mimicking the code of the past. This conversation uncovers how new agentic workflows are 'tricking' developers into improving their communication and documentation skills, providing a crucial look at the cultural foundations required to thrive in the AI-accelerated enterprise.Check out:AI code review tools: 2025 evaluation guideFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Martin's GitHub Galaxy Keynote: Watch "The AI-Accelerated Enterprise”GitHub Copilot:  Learn more about the tools and featuresGitHub Universe Conference: Look out for announcements for the upcoming conferenceConnect with Martin:  Martin's Social Media Hub (Martin.Social)Connect with Erika on LinkedIn Referenced in today's show:GPT-5: Overdue, overhyped and underwhelming. And that's not the worst of it.Auf Wiedersehen, GitHub ♥️I Tried Every Todo App and Ended Up With a .txt File[BUG] Claude says "You're absolutely right!" about everything · Issue #3382 Why MCP's Disregard for 40 Years of RPC Best Practices Will Burn EnterprisesSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

In this episode of the CIAOPS "Need to Know" podcast, we dive into the latest updates across Microsoft 365, GitHub Copilot, and SMB-focused strategies for scaling IT services. From new Teams features to deep dives into DLP alerts and co-partnering models for MSPs, this episode is packed with insights for IT professionals and small business tech leaders looking to stay ahead of the curve. I also take a look at building an agent to help you work with frameworks like the ASD Blueprint for Secure Cloud. Resources CIAOPS Need to Know podcast - CIAOPS - Need to Know podcasts | CIAOPS X - https://www.twitter.com/directorcia Join my Teams shared channel - Join my Teams Shared Channel – CIAOPS CIAOPS Merch store - CIAOPS Become a CIAOPS Patron - CIAOPS Patron CIAOPS Blog - CIAOPS – Information about SharePoint, Microsoft 365, Azure, Mobility and Productivity from the Computer Information Agency CIAOPS Brief - CIA Brief – CIAOPS CIAOPS Labs - CIAOPS Labs – The Special Activities Division of the CIAOPS Support CIAOPS - https://ko-fi.com/ciaops Get your M365 questions answered via email   Microsoft 365 & GitHub Copilot Updates GPT-5 in Microsoft 365 Copilot: https://www.microsoft.com/en-us/microsoft-365/blog/2025/08/07/available-today-gpt-5-in-microsoft-365-copilot/ GPT-5 Public Preview for GitHub Copilot: https://github.blog/changelog/2025-08-07-openai-gpt-5-is-now-in-public-preview-for-github-copilot/ Microsoft Teams & UX Enhancements   Mic Volume Indicator in Teams: https://techcommunity.microsoft.com/blog/Microsoft365InsiderBlog/new-microphone-volume-indicator-in-teams/4442879 Pull Print in Universal Print: https://techcommunity.microsoft.com/blog/windows-itpro-blog/pull-print-is-now-available-in-universal-print/4441608 Audio Overview in Word via Copilot: https://techcommunity.microsoft.com/blog/Microsoft365InsiderBlog/listen-to-an-audio-overview-of-a-document-with-microsoft-365-copilot-in-word/4439362 Hidden OneDrive Features: https://techcommunity.microsoft.com/blog/microsoft365insiderblog/get-the-most-out-of-onedrive-with-these-little-known-features/4435197 SharePoint Header/Footer Enhancements: https://techcommunity.microsoft.com/blog/spblog/introducing-new-sharepoint-site-header--footer-enhancements/4444261 Security & Compliance DLP Alerts Deep Dive (Part 1 & 2): https://techcommunity.microsoft.com/blog/microsoft-security-blog/deep-dive-dlp-incidents-alerts--events---part-1/4443691   https://techcommunity.microsoft.com/blog/microsoft-security-blog/deep-dive-dlp-incidents-alerts--events---part-2/4443700 Security Exposure Management Ninja Training: https://techcommunity.microsoft.com/blog/securityexposuremanagement/microsoft-security-exposure-management-ninja-training/4444285 Microsoft Entra Internet Access & Shadow AI Protection: https://techcommunity.microsoft.com/blog/microsoft-entra-blog/uncover-shadow-ai-block-threats-and-protect-data-with-microsoft-entra-internet-a/4440787   ASD Blueprint for Secure Cloud - https://blueprint.asd.gov.au/  

Sports Geek Rapid Rundown is a daily sports business podcast curated by Sports Geek Reads. We publish it on Sports Geek twice per week. In this episode: Discover Meta's affordable Celeste smart glasses with neural wristband controls, Sky Media's landmark Premier League sponsorship deal with six major brands, and ChatGPT's explosive $2 billion mobile revenue growth. Plus cybersecurity risks for college athletes and GPT-5's debut in GitHub Copilot - all curated by Sports Geek Reads. Subscribe at https://sportsgeekhq.com/rapidrundown

In this week's episode ofThe New Stack Agents, Scott Carey, editor-in-chief of LeadDev, discussed their first AI Impact Report, which explores how engineering teams are adopting AI tools. The report shows that two-thirds of developers are actively using AI, with another 20% in pilot stages and only 2% having no plans to use AI — a group Carey finds particularly intriguing. Popular tools include Cursor (43%) and GitHub Copilot (37%), with others like OpenAI, Gemini, and Claude following, while Amazon Q and Replit lag behind.Most developers use AI for code generation, documentation, and research, but usage for DevOps tasks like testing, deployment, and IT automation remains low. Carey finds this underutilization frustrating, given AI's potential impact in these areas. The report also highlights concern for junior developers, with 54% of respondents expecting fewer future hires at that level. While many believe AI boosts productivity, some remain unsure — a sign that organizations still struggle to measure developer performance effectively.Learn more from The New Stack about the latest insights about the AI tool adoption: AI Adoption: Why Businesses Struggle to Move from Development to Production3 Strategies for Speeding Up AI Adoption Among DevelopersAI Everywhere: Overcoming Barriers to AdoptionJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Arnaud et Guillaume explore l'évolution de l'écosystème Java avec Java 25, Spring Boot et Quarkus, ainsi que les dernières tendances en intelligence artificielle avec les nouveaux modèles comme Grok 4 et Claude Code. Les animateurs font également le point sur l'infrastructure cloud, les défis MCP et CLI, tout en discutant de l'impact de l'IA sur la productivité des développeurs et la gestion de la dette technique. Enregistré le 8 août 2025 Téléchargement de l'épisode LesCastCodeurs-Episode–329.mp3 ou en vidéo sur YouTube. News Langages Java 25: JEP 515 : Profilage de méthode en avance (Ahead-of-Time) https://openjdk.org/jeps/515 Le JEP 515 a pour but d'améliorer le temps de démarrage et de chauffe des applications Java. L'idée est de collecter les profils d'exécution des méthodes lors d'une exécution antérieure, puis de les rendre immédiatement disponibles au démarrage de la machine virtuelle. Cela permet au compilateur JIT de générer du code natif dès le début, sans avoir à attendre que l'application soit en cours d'exécution. Ce changement ne nécessite aucune modification du code des applications, des bibliothèques ou des frameworks. L'intégration se fait via les commandes de création de cache AOT existantes. Voir aussi https://openjdk.org/jeps/483 et https://openjdk.org/jeps/514 Java 25: JEP 518 : Échantillonnage coopératif JFR https://openjdk.org/jeps/518 Le JEP 518 a pour objectif d'améliorer la stabilité et l'évolutivité de la fonction JDK Flight Recorder (JFR) pour le profilage d'exécution. Le mécanisme d'échantillonnage des piles d'appels de threads Java est retravaillé pour s'exécuter uniquement à des safepoints, ce qui réduit les risques d'instabilité. Le nouveau modèle permet un parcours de pile plus sûr, notamment avec le garbage collector ZGC, et un échantillonnage plus efficace qui prend en charge le parcours de pile concurrent. Le JEP ajoute un nouvel événement, SafepointLatency, qui enregistre le temps nécessaire à un thread pour atteindre un safepoint. L'approche rend le processus d'échantillonnage plus léger et plus rapide, car le travail de création de traces de pile est délégué au thread cible lui-même. Librairies Spring Boot 4 M1 https://spring.io/blog/2025/07/24/spring-boot–4–0–0-M1-available-now Spring Boot 4.0.0-M1 met à jour de nombreuses dépendances internes et externes pour améliorer la stabilité et la compatibilité. Les types annotés avec @ConfigurationProperties peuvent maintenant référencer des types situés dans des modules externes grâce à @ConfigurationPropertiesSource. Le support de l'information sur la validité des certificats SSL a été simplifié, supprimant l'état WILL_EXPIRE_SOON au profit de VALID. L'auto-configuration des métriques Micrometer supporte désormais l'annotation @MeterTag sur les méthodes annotées @Counted et @Timed, avec évaluation via SpEL. Le support de @ServiceConnection pour MongoDB inclut désormais l'intégration avec MongoDBAtlasLocalContainer de Testcontainers. Certaines fonctionnalités et API ont été dépréciées, avec des recommandations pour migrer les points de terminaison personnalisés vers les versions Spring Boot 2. Les versions milestones et release candidates sont maintenant publiées sur Maven Central, en plus du repository Spring traditionnel. Un guide de migration a été publié pour faciliter la transition depuis Spring Boot 3.5 vers la version 4.0.0-M1. Passage de Spring Boot à Quarkus : retour d'expérience https://blog.stackademic.com/we-switched-from-spring-boot-to-quarkus-heres-the-ugly-truth-c8a91c2b8c53 Une équipe a migré une application Java de Spring Boot vers Quarkus pour gagner en performances et réduire la consommation mémoire. L'objectif était aussi d'optimiser l'application pour le cloud natif. La migration a été plus complexe que prévu, notamment à cause de l'incompatibilité avec certaines bibliothèques et d'un écosystème Quarkus moins mature. Il a fallu revoir du code et abandonner certaines fonctionnalités spécifiques à Spring Boot. Les gains en performances et en mémoire sont réels, mais la migration demande un vrai effort d'adaptation. La communauté Quarkus progresse, mais le support reste limité comparé à Spring Boot. Conclusion : Quarkus est intéressant pour les nouveaux projets ou ceux prêts à être réécrits, mais la migration d'un projet existant est un vrai défi. LangChain4j 1.2.0 : Nouvelles fonctionnalités et améliorations https://github.com/langchain4j/langchain4j/releases/tag/1.2.0 Modules stables : Les modules langchain4j-anthropic, langchain4j-azure-open-ai, langchain4j-bedrock, langchain4j-google-ai-gemini, langchain4j-mistral-ai et langchain4j-ollama sont désormais en version stable 1.2.0. Modules expérimentaux : La plupart des autres modules de LangChain4j sont en version 1.2.0-beta8 et restent expérimentaux/instables. BOM mis à jour : Le langchain4j-bom a été mis à jour en version 1.2.0, incluant les dernières versions de tous les modules. Principales améliorations : Support du raisonnement/pensée dans les modèles. Appels d'outils partiels en streaming. Option MCP pour exposer automatiquement les ressources en tant qu'outils. OpenAI : possibilité de définir des paramètres de requête personnalisés et d'accéder aux réponses HTTP brutes et aux événements SSE. Améliorations de la gestion des erreurs et de la documentation. Filtering Metadata Infinispan ! (cc Katia( Et 1.3.0 est déjà disponible https://github.com/langchain4j/langchain4j/releases/tag/1.3.0 2 nouveaux modules expérimentaux, langchain4j-agentic et langchain4j-agentic-a2a qui introduisent un ensemble d'abstractions et d'utilitaires pour construire des applications agentiques Infrastructure Cette fois c'est vraiment l'année de Linux sur le desktop ! https://www.lesnumeriques.com/informatique/c-est-enfin-arrive-linux-depasse-un-seuil-historique-que-microsoft-pensait-intouchable-n239977.html Linux a franchi la barre des 5% aux USA Cette progression s'explique en grande partie par l'essor des systèmes basés sur Linux dans les environnements professionnels, les serveurs, et certains usages grand public. Microsoft, longtemps dominant avec Windows, voyait ce seuil comme difficilement atteignable à court terme. Le succès de Linux est également alimenté par la popularité croissante des distributions open source, plus légères, personnalisables et adaptées à des usages variés. Le cloud, l'IoT, et les infrastructures de serveurs utilisent massivement Linux, ce qui contribue à cette augmentation globale. Ce basculement symbolique marque un changement d'équilibre dans l'écosystème des systèmes d'exploitation. Toutefois, Windows conserve encore une forte présence dans certains segments, notamment chez les particuliers et dans les entreprises classiques. Cette évolution témoigne du dynamisme et de la maturité croissante des solutions Linux, devenues des alternatives crédibles et robustes face aux offres propriétaires. Cloud Cloudflare 1.1.1.1 s'en va pendant une heure d'internet https://blog.cloudflare.com/cloudflare–1–1–1–1-incident-on-july–14–2025/ Le 14 juillet 2025, le service DNS public Cloudflare 1.1.1.1 a subi une panne majeure de 62 minutes, rendant le service indisponible pour la majorité des utilisateurs mondiaux. Cette panne a aussi causé une dégradation intermittente du service Gateway DNS. L'incident est survenu suite à une mise à jour de la topologie des services Cloudflare qui a activé une erreur de configuration introduite en juin 2025. Cette erreur faisait que les préfixes destinés au service 1.1.1.1 ont été accidentellement inclus dans un nouveau service de localisation des données (Data Localization Suite), ce qui a perturbé le routage anycast. Le résultat a été une incapacité pour les utilisateurs à résoudre les noms de domaine via 1.1.1.1, rendant la plupart des services Internet inaccessibles pour eux. Ce n'était pas le résultat d'une attaque ou d'un problème BGP, mais une erreur interne de configuration. Cloudflare a rapidement identifié la cause, corrigé la configuration et mis en place des mesures pour prévenir ce type d'incident à l'avenir. Le service est revenu à la normale après environ une heure d'indisponibilité. L'incident souligne la complexité et la sensibilité des infrastructures anycast et la nécessité d'une gestion rigoureuse des configurations réseau. Web L'évolution des bonnes pratiques de Node.js https://kashw1n.com/blog/nodejs–2025/ Évolution de Node.js en 2025 : Le développement se tourne vers les standards du web, avec moins de dépendances externes et une meilleure expérience pour les développeurs. ES Modules (ESM) par défaut : Remplacement de CommonJS pour un meilleur outillage et une standardisation avec le web. Utilisation du préfixe node: pour les modules natifs afin d'éviter les conflits. API web intégrées : fetch, AbortController, et AbortSignal sont maintenant natifs, réduisant le besoin de librairies comme axios. Runner de test intégré : Plus besoin de Jest ou Mocha pour la plupart des cas. Inclut un mode “watch” et des rapports de couverture. Patterns asynchrones avancés : Utilisation plus poussée de async/await avec Promise.all() pour le parallélisme et les AsyncIterators pour les flux d'événements. Worker Threads pour le parallélisme : Pour les tâches lourdes en CPU, évitant de bloquer l'event loop principal. Expérience de développement améliorée : Intégration du mode --watch (remplace nodemon) et du support --env-file (remplace dotenv). Sécurité et performance : Modèle de permission expérimental pour restreindre l'accès et des hooks de performance natifs pour le monitoring. Distribution simplifiée : Création d'exécutables uniques pour faciliter le déploiement d'applications ou d'outils en ligne de commande. Sortie de Apache EChart 6 après 12 ans ! https://echarts.apache.org/handbook/en/basics/release-note/v6-feature/ Apache ECharts 6.0 : Sortie officielle après 12 ans d'évolution. 12 mises à niveau majeures pour la visualisation de données. Trois dimensions clés d'amélioration : Présentation visuelle plus professionnelle : Nouveau thème par défaut (design moderne). Changement dynamique de thème. Prise en charge du mode sombre. Extension des limites de l'expression des données : Nouveaux types de graphiques : Diagramme de cordes (Chord Chart), Nuage de points en essaim (Beeswarm Chart). Nouvelles fonctionnalités : Jittering pour nuages de points denses, Axes coupés (Broken Axis). Graphiques boursiers améliorés Liberté de composition : Nouveau système de coordonnées matriciel. Séries personnalisées améliorées (réutilisation du code, publication npm). Nouveaux graphiques personnalisés inclus (violon, contour, etc.). Optimisation de l'agencement des étiquettes d'axe. Data et Intelligence Artificielle Grok 4 s'est pris pour un nazi à cause des tools https://techcrunch.com/2025/07/15/xai-says-it-has-fixed-grok–4s-problematic-responses/ À son lancement, Grok 4 a généré des réponses offensantes, notamment en se surnommant « MechaHitler » et en adoptant des propos antisémites. Ce comportement provenait d'une recherche automatique sur le web qui a mal interprété un mème viral comme une vérité. Grok alignait aussi ses réponses controversées sur les opinions d'Elon Musk et de xAI, ce qui a amplifié les biais. xAI a identifié que ces dérapages étaient dus à une mise à jour interne intégrant des instructions encourageant un humour offensant et un alignement avec Musk. Pour corriger cela, xAI a supprimé le code fautif, remanié les prompts système, et imposé des directives demandant à Grok d'effectuer une analyse indépendante, en utilisant des sources diverses. Grok doit désormais éviter tout biais, ne plus adopter un humour politiquement incorrect, et analyser objectivement les sujets sensibles. xAI a présenté ses excuses, précisant que ces dérapages étaient dus à un problème de prompt et non au modèle lui-même. Cet incident met en lumière les défis persistants d'alignement et de sécurité des modèles d'IA face aux injections indirectes issues du contenu en ligne. La correction n'est pas qu'un simple patch technique, mais un exemple des enjeux éthiques et de responsabilité majeurs dans le déploiement d'IA à grande échelle. Guillaume a sorti toute une série d'article sur les patterns agentiques avec le framework ADK pour Java https://glaforge.dev/posts/2025/07/29/mastering-agentic-workflows-with-adk-the-recap/ Un premier article explique comment découper les tâches en sous-agents IA : https://glaforge.dev/posts/2025/07/23/mastering-agentic-workflows-with-adk-sub-agents/ Un deuxième article détaille comment organiser les agents de manière séquentielle : https://glaforge.dev/posts/2025/07/24/mastering-agentic-workflows-with-adk-sequential-agent/ Un troisième article explique comment paralleliser des tâches indépendantes : https://glaforge.dev/posts/2025/07/25/mastering-agentic-workflows-with-adk-parallel-agent/ Et enfin, comment faire des boucles d'amélioration : https://glaforge.dev/posts/2025/07/28/mastering-agentic-workflows-with-adk-loop-agents/ Tout ça évidemment en Java :slightly_smiling_face: 6 semaines de code avec Claude https://blog.puzzmo.com/posts/2025/07/30/six-weeks-of-claude-code/ Orta partage son retour après 6 semaines d'utilisation quotidienne de Claude Code, qui a profondément changé sa manière de coder. Il ne « code » plus vraiment ligne par ligne, mais décrit ce qu'il veut, laisse Claude proposer une solution, puis corrige ou ajuste. Cela permet de se concentrer sur le résultat plutôt que sur l'implémentation, comme passer de la peinture au polaroid. Claude s'avère particulièrement utile pour les tâches de maintenance : migrations, refactors, nettoyage de code. Il reste toujours en contrôle, révise chaque diff généré, et guide l'IA via des prompts bien cadrés. Il note qu'il faut quelques semaines pour prendre le bon pli : apprendre à découper les tâches et formuler clairement les attentes. Les tâches simples deviennent quasi instantanées, mais les tâches complexes nécessitent encore de l'expérience et du discernement. Claude Code est vu comme un très bon copilote, mais ne remplace pas le rôle du développeur qui comprend l'ensemble du système. Le gain principal est une vitesse de feedback plus rapide et une boucle d'itération beaucoup plus courte. Ce type d'outil pourrait bien redéfinir la manière dont on pense et structure le développement logiciel à moyen terme. Claude Code et les serveurs MCP : ou comment transformer ton terminal en assistant surpuissant https://touilleur-express.fr/2025/07/27/claude-code-et-les-serveurs-mcp-ou-comment-transformer-ton-terminal-en-assistant-surpuissant/ Nicolas continue ses études sur Claude Code et explique comment utiliser les serveurs MCP pour rendre Claude bien plus efficace. Le MCP Context7 montre comment fournir à l'IA la doc technique à jour (par exemple, Next.js 15) pour éviter les hallucinations ou les erreurs. Le MCP Task Master, autre serveur MCP, transforme un cahier des charges (PRD) en tâches atomiques, estimées, et organisées sous forme de plan de travail. Le MCP Playwright permet de manipuler des navigateurs et d'executer des tests E2E Le MCP Digital Ocean permet de déployer facilement l'application en production Tout n'est pas si ideal, les quotas sont atteints en quelques heures sur une petite application et il y a des cas où il reste bien plus efficace de le faire soit-même (pour un codeur expérimenté) Nicolas complète cet article avec l'écriture d'un MVP en 20 heures: https://touilleur-express.fr/2025/07/30/comment-jai-code-un-mvp-en-une-vingtaine-dheures-avec-claude-code/ Le développement augmenté, un avis politiquement correct, mais bon… https://touilleur-express.fr/2025/07/31/le-developpement-augmente-un-avis-politiquement-correct-mais-bon/ Nicolas partage un avis nuancé (et un peu provoquant) sur le développement augmenté, où l'IA comme Claude Code assiste le développeur sans le remplacer. Il rejette l'idée que cela serait « trop magique » ou « trop facile » : c'est une évolution logique de notre métier, pas un raccourci pour les paresseux. Pour lui, un bon dev reste celui qui structure bien sa pensée, sait poser un problème, découper, valider — même si l'IA aide à coder plus vite. Il raconte avoir codé une app OAuth, testée, stylisée et déployée en quelques heures, sans jamais quitter le terminal grâce à Claude. Ce genre d'outillage change le rapport au temps : on passe de « je vais y réfléchir » à « je tente tout de suite une version qui marche à peu près ». Il assume aimer cette approche rapide et imparfaite : mieux vaut une version brute livrée vite qu'un projet bloqué par le perfectionnisme. L'IA est selon lui un super stagiaire : jamais fatigué, parfois à côté de la plaque, mais diablement productif quand bien briefé. Il conclut que le « dev augmenté » ne remplace pas les bons développeurs… mais les développeurs moyens doivent s'y mettre, sous peine d'être dépassés. ChatGPT lance le mode d'étude : un apprentissage interactif pas à pas https://openai.com/index/chatgpt-study-mode/ OpenAI propose un mode d'étude dans ChatGPT qui guide les utilisateurs pas à pas plutôt que de donner directement la réponse. Ce mode vise à encourager la réflexion active et l'apprentissage en profondeur. Il utilise des instructions personnalisées pour poser des questions et fournir des explications adaptées au niveau de l'utilisateur. Le mode d'étude favorise la gestion de la charge cognitive et stimule la métacognition. Il propose des réponses structurées pour faciliter la compréhension progressive des sujets. Disponible dès maintenant pour les utilisateurs connectés, ce mode sera intégré dans ChatGPT Edu. L'objectif est de transformer ChatGPT en un véritable tuteur numérique, aidant les étudiants à mieux assimiler les connaissances. A priori Gemini viendrait de sortir un fonctionnalité similaire Lancement de GPT-OSS par OpenAI https://openai.com/index/introducing-gpt-oss/ https://openai.com/index/gpt-oss-model-card/ OpenAI a lancé GPT-OSS, sa première famille de modèles open-weight depuis GPT–2. Deux modèles sont disponibles : gpt-oss–120b et gpt-oss–20b, qui sont des modèles mixtes d'experts conçus pour le raisonnement et les tâches d'agent. Les modèles sont distribués sous licence Apache 2.0, permettant leur utilisation et leur personnalisation gratuites, y compris pour des applications commerciales. Le modèle gpt-oss–120b est capable de performances proches du modèle OpenAI o4-mini, tandis que le gpt-oss–20b est comparable au o3-mini. OpenAI a également open-sourcé un outil de rendu appelé Harmony en Python et Rust pour en faciliter l'adoption. Les modèles sont optimisés pour fonctionner localement et sont pris en charge par des plateformes comme Hugging Face et Ollama. OpenAI a mené des recherches sur la sécurité pour s'assurer que les modèles ne pouvaient pas être affinés pour des utilisations malveillantes dans les domaines biologique, chimique ou cybernétique. Anthropic lance Opus 4.1 https://www.anthropic.com/news/claude-opus–4–1 Anthropic a publié Claude Opus 4.1, une mise à jour de son modèle de langage. Cette nouvelle version met l'accent sur l'amélioration des performances en codage, en raisonnement et sur les tâches de recherche et d'analyse de données. Le modèle a obtenu un score de 74,5 % sur le benchmark SWE-bench Verified, ce qui représente une amélioration par rapport à la version précédente. Il excelle notamment dans la refactorisation de code multifichier et est capable d'effectuer des recherches approfondies. Claude Opus 4.1 est disponible pour les utilisateurs payants de Claude, ainsi que via l'API, Amazon Bedrock et Vertex AI de Google Cloud, avec des tarifs identiques à ceux d'Opus 4. Il est présenté comme un remplacement direct de Claude Opus 4, avec des performances et une précision supérieures pour les tâches de programmation réelles. OpenAI Summer Update. GPT–5 is out https://openai.com/index/introducing-gpt–5/ Détails https://openai.com/index/gpt–5-new-era-of-work/ https://openai.com/index/introducing-gpt–5-for-developers/ https://openai.com/index/gpt–5-safe-completions/ https://openai.com/index/gpt–5-system-card/ Amélioration majeure des capacités cognitives - GPT‑5 montre un niveau de raisonnement, d'abstraction et de compréhension nettement supérieur aux modèles précédents. Deux variantes principales - gpt-5-main : rapide, efficace pour les tâches générales. gpt-5-thinking : plus lent mais spécialisé dans les tâches complexes, nécessitant réflexion profonde. Routeur intelligent intégré - Le système sélectionne automatiquement la version la plus adaptée à la tâche (rapide ou réfléchie), sans intervention de l'utilisateur. Fenêtre de contexte encore étendue - GPT‑5 peut traiter des volumes de texte plus longs (jusqu'à 1 million de tokens dans certaines versions), utile pour des documents ou projets entiers. Réduction significative des hallucinations - GPT‑5 donne des réponses plus fiables, avec moins d'erreurs inventées ou de fausses affirmations. Comportement plus neutre et moins sycophant - Il a été entraîné pour mieux résister à l'alignement excessif avec les opinions de l'utilisateur. Capacité accrue à suivre des instructions complexes - GPT‑5 comprend mieux les consignes longues, implicites ou nuancées. Approche “Safe completions” - Remplacement des “refus d'exécution” par des réponses utiles mais sûres — le modèle essaie de répondre avec prudence plutôt que bloquer. Prêt pour un usage professionnel à grande échelle - Optimisé pour le travail en entreprise : rédaction, programmation, synthèse, automatisation, gestion de tâches, etc. Améliorations spécifiques pour le codage - GPT‑5 est plus performant pour l'écriture de code, la compréhension de contextes logiciels complexes, et l'usage d'outils de développement. Expérience utilisateur plus rapide et fluide- Le système réagit plus vite grâce à une orchestration optimisée entre les différents sous-modèles. Capacités agentiques renforcées - GPT‑5 peut être utilisé comme base pour des agents autonomes capables d'accomplir des objectifs avec peu d'interventions humaines. Multimodalité maîtrisée (texte, image, audio) - GPT‑5 intègre de façon plus fluide la compréhension de formats multiples, dans un seul modèle. Fonctionnalités pensées pour les développeurs - Documentation plus claire, API unifiée, modèles plus transparents et personnalisables. Personnalisation contextuelle accrue - Le système s'adapte mieux au style, ton ou préférences de l'utilisateur, sans instructions répétées. Utilisation énergétique et matérielle optimisée - Grâce au routeur interne, les ressources sont utilisées plus efficacement selon la complexité des tâches. Intégration sécurisée dans les produits ChatGPT - Déjà déployé dans ChatGPT avec des bénéfices immédiats pour les utilisateurs Pro et entreprises. Modèle unifié pour tous les usages - Un seul système capable de passer de la conversation légère à des analyses scientifiques ou du code complexe. Priorité à la sécurité et à l'alignement - GPT‑5 a été conçu dès le départ pour minimiser les abus, biais ou comportements indésirables. Pas encore une AGI - OpenAI insiste : malgré ses capacités impressionnantes, GPT‑5 n'est pas une intelligence artificielle générale. Non, non, les juniors ne sont pas obsolètes malgré l'IA ! (dixit GitHub) https://github.blog/ai-and-ml/generative-ai/junior-developers-arent-obsolete-heres-how-to-thrive-in-the-age-of-ai/ L'IA transforme le développement logiciel, mais les développeurs juniors ne sont pas obsolètes. Les nouveaux apprenants sont bien positionnés, car déjà familiers avec les outils IA. L'objectif est de développer des compétences pour travailler avec l'IA, pas d'être remplacé. La créativité et la curiosité sont des qualités humaines clés. Cinq façons de se démarquer : Utiliser l'IA (ex: GitHub Copilot) pour apprendre plus vite, pas seulement coder plus vite (ex: mode tuteur, désactiver l'autocomplétion temporairement). Construire des projets publics démontrant ses compétences (y compris en IA). Maîtriser les workflows GitHub essentiels (GitHub Actions, contribution open source, pull requests). Affûter son expertise en révisant du code (poser des questions, chercher des patterns, prendre des notes). Déboguer plus intelligemment et rapidement avec l'IA (ex: Copilot Chat pour explications, corrections, tests). Ecrire son premier agent IA avec A2A avec WildFly par Emmanuel Hugonnet https://www.wildfly.org/news/2025/08/07/Building-your-First-A2A-Agent/ Protocole Agent2Agent (A2A) : Standard ouvert pour l'interopérabilité universelle des agents IA. Permet communication et collaboration efficaces entre agents de différents fournisseurs/frameworks. Crée des écosystèmes multi-agents unifiés, automatisant les workflows complexes. Objet de l'article : Guide pour construire un premier agent A2A (agent météo) dans WildFly. Utilise A2A Java SDK pour Jakarta Servers, WildFly AI Feature Pack, un LLM (Gemini) et un outil Python (MCP). Agent conforme A2A v0.2.5. Prérequis : JDK 17+, Apache Maven 3.8+, IDE Java, Google AI Studio API Key, Python 3.10+, uv. Étapes de construction de l'agent météo : Création du service LLM : Interface Java (WeatherAgent) utilisant LangChain4J pour interagir avec un LLM et un outil Python MCP (fonctions get_alerts, get_forecast). Définition de l'agent A2A (via CDI) : ▪︎ Agent Card : Fournit les métadonnées de l'agent (nom, description, URL, capacités, compétences comme “weather_search”). Agent Executor : Gère les requêtes A2A entrantes, extrait le message utilisateur, appelle le service LLM et formate la réponse. Exposition de l'agent : Enregistrement d'une application JAX-RS pour les endpoints. Déploiement et test : Configuration de l'outil A2A-inspector de Google (via un conteneur Podman). Construction du projet Maven, configuration des variables d'environnement (ex: GEMINI_API_KEY). Lancement du serveur WildFly. Conclusion : Transformation minimale d'une application IA en agent A2A. Permet la collaboration et le partage d'informations entre agents IA, indépendamment de leur infrastructure sous-jacente. Outillage IntelliJ IDEa bouge vers une distribution unifiée https://blog.jetbrains.com/idea/2025/07/intellij-idea-unified-distribution-plan/ À partir de la version 2025.3, IntelliJ IDEA Community Edition ne sera plus distribuée séparément. Une seule version unifiée d'IntelliJ IDEA regroupera les fonctionnalités des éditions Community et Ultimate. Les fonctionnalités avancées de l'édition Ultimate seront accessibles via abonnement. Les utilisateurs sans abonnement auront accès à une version gratuite enrichie par rapport à l'édition Community actuelle. Cette unification vise à simplifier l'expérience utilisateur et réduire les différences entre les éditions. Les utilisateurs Community seront automatiquement migrés vers cette nouvelle version unifiée. Il sera possible d'activer les fonctionnalités Ultimate temporairement d'un simple clic. En cas d'expiration d'abonnement Ultimate, l'utilisateur pourra continuer à utiliser la version installée avec un jeu limité de fonctionnalités gratuites, sans interruption. Ce changement reflète l'engagement de JetBrains envers l'open source et l'adaptation aux besoins de la communauté. Prise en charge des Ancres YAML dans GitHub Actions https://github.com/actions/runner/issues/1182#issuecomment–3150797791 Afin d'éviter de dupliquer du contenu dans un workflow les Ancres permettent d'insérer des morceaux réutilisables de YAML Fonctionnalité attendue depuis des années et disponible chez GitLab depuis bien longtemps. Elle a été déployée le 4 aout. Attention à ne pas en abuser car la lisibilité de tels documents n'est pas si facile Gemini CLI rajoute les custom commands comme Claude https://cloud.google.com/blog/topics/developers-practitioners/gemini-cli-custom-slash-commands Mais elles sont au format TOML, on ne peut donc pas les partager avec Claude :disappointed: Automatiser ses workflows IA avec les hooks de Claude Code https://blog.gitbutler.com/automate-your-ai-workflows-with-claude-code-hooks/ Claude Code propose des hooks qui permettent d'exécuter des scripts à différents moments d'une session, par exemple au début, lors de l'utilisation d'outils, ou à la fin. Ces hooks facilitent l'automatisation de tâches comme la gestion de branches Git, l'envoi de notifications, ou l'intégration avec d'autres outils. Un exemple simple est l'envoi d'une notification sur le bureau à la fin d'une session. Les hooks se configurent via trois fichiers JSON distincts selon le scope : utilisateur, projet ou local. Sur macOS, l'envoi de notifications nécessite une permission spécifique via l'application “Script Editor”. Il est important d'avoir une version à jour de Claude Code pour utiliser ces hooks. GitButler permet desormais de s'intégrer à Claude Code via ces hooks: https://blog.gitbutler.com/parallel-claude-code/ Le client Git de Jetbrains bientot en standalone https://lp.jetbrains.com/closed-preview-for-jetbrains-git-client/ Demandé par certains utilisateurs depuis longtemps Ca serait un client graphique du même style qu'un GitButler, SourceTree, etc Apache Maven 4 …. arrive …. l'utilitaire mvnupva vous aider à upgrader https://maven.apache.org/tools/mvnup.html Fixe les incompatibilités connues Nettoie les redondances et valeurs par defaut (versions par ex) non utiles pour Maven 4 Reformattage selon les conventions maven … Une GitHub Action pour Gemini CLI https://blog.google/technology/developers/introducing-gemini-cli-github-actions/ Google a lancé Gemini CLI GitHub Actions, un agent d'IA qui fonctionne comme un “coéquipier de code” pour les dépôts GitHub. L'outil est gratuit et est conçu pour automatiser des tâches de routine telles que le triage des problèmes (issues), l'examen des demandes de tirage (pull requests) et d'autres tâches de développement. Il agit à la fois comme un agent autonome et un collaborateur que les développeurs peuvent solliciter à la demande, notamment en le mentionnant dans une issue ou une pull request. L'outil est basé sur la CLI Gemini, un agent d'IA open-source qui amène le modèle Gemini directement dans le terminal. Il utilise l'infrastructure GitHub Actions, ce qui permet d'isoler les processus dans des conteneurs séparés pour des raisons de sécurité. Trois flux de travail (workflows) open-source sont disponibles au lancement : le triage intelligent des issues, l'examen des pull requests et la collaboration à la demande. Pas besoin de MCP, le code est tout ce dont vous avez besoin https://lucumr.pocoo.org/2025/7/3/tools/ Armin souligne qu'il n'est pas fan du protocole MCP (Model Context Protocol) dans sa forme actuelle : il manque de composabilité et exige trop de contexte. Il remarque que pour une même tâche (ex. GitHub), utiliser le CLI est souvent plus rapide et plus efficace en termes de contexte que passer par un serveur MCP. Selon lui, le code reste la solution la plus simple et fiable, surtout pour automatiser des tâches répétitives. Il préfère créer des scripts clairs plutôt que se reposer sur l'inférence LLM : cela facilite la vérification, la maintenance et évite les erreurs subtiles. Pour les tâches récurrentes, si on les automatise, mieux vaut le faire avec du code reusable, plutôt que de laisser l'IA deviner à chaque fois. Il illustre cela en convertissant son blog entier de reStructuredText à Markdown : plutôt qu'un usage direct d'IA, il a demandé à Claude de générer un script complet, avec parsing AST, comparaison des fichiers, validation et itération. Ce workflow LLM→code→LLM (analyse et validation) lui a donné confiance dans le résultat final, tout en conservant un contrôle humain sur le processus. Il juge que MCP ne permet pas ce type de pipeline automatisé fiable, car il introduit trop d'inférence et trop de variations par appel. Pour lui, coder reste le meilleur moyen de garder le contrôle, la reproductibilité et la clarté dans les workflows automatisés. MCP vs CLI … https://www.async-let.com/blog/my-take-on-the-mcp-verses-cli-debate/ Cameron raconte son expérience de création du serveur XcodeBuildMCP, qui lui a permis de mieux comprendre le débat entre servir l'IA via MCP ou laisser l'IA utiliser directement les CLI du système. Selon lui, les CLIs restent préférables pour les développeurs experts recherchant contrôle, transparence, performance et simplicité. Mais les serveurs MCP excellent sur les workflows complexes, les contextes persistants, les contraintes de sécurité, et facilitent l'accès pour les utilisateurs moins expérimentés. Il reconnaît la critique selon laquelle MCP consomme trop de contexte (« context bloat ») et que les appels CLI peuvent être plus rapides et compréhensibles. Toutefois, il souligne que beaucoup de problèmes proviennent de la qualité des implémentations clients, pas du protocole MCP en lui‑même. Pour lui, un bon serveur MCP peut proposer des outils soigneusement définis qui simplifient la vie de l'IA (par exemple, renvoyer des données structurées plutôt que du texte brut à parser). Il apprécie la capacité des MCP à offrir des opérations état‑durables (sessions, mémoire, logs capturés), ce que les CLI ne gèrent pas naturellement. Certains scénarios ne peuvent pas fonctionner via CLI (pas de shell accessible) alors que MCP, en tant que protocole indépendant, reste utilisable par n'importe quel client. Son verdict : pas de solution universelle — chaque contexte mérite d'être évalué, et on ne devrait pas imposer MCP ou CLI à tout prix. Jules, l'agent de code asynchrone gratuit de Google, est sorti de beta et est disponible pour tout le monde https://blog.google/technology/google-labs/jules-now-available/ Jules, agent de codage asynchrone, est maintenant publiquement disponible. Propulsé par Gemini 2.5 Pro. Phase bêta : 140 000+ améliorations de code et retours de milliers de développeurs. Améliorations : interface utilisateur, corrections de bugs, réutilisation des configurations, intégration GitHub Issues, support multimodal. Gemini 2.5 Pro améliore les plans de codage et la qualité du code. Nouveaux paliers structurés : Introductif, Google AI Pro (limites 5x supérieures), Google AI Ultra (limites 20x supérieures). Déploiement immédiat pour les abonnés Google AI Pro et Ultra, incluant les étudiants éligibles (un an gratuit de AI Pro). Architecture Valoriser la réduction de la dette technique : un vrai défi https://www.lemondeinformatique.fr/actualites/lire-valoriser-la-reduction-de-la-dette-technique-mission-impossible–97483.html La dette technique est un concept mal compris et difficile à valoriser financièrement auprès des directions générales. Les DSI ont du mal à mesurer précisément cette dette, à allouer des budgets spécifiques, et à prouver un retour sur investissement clair. Cette difficulté limite la priorisation des projets de réduction de dette technique face à d'autres initiatives jugées plus urgentes ou stratégiques. Certaines entreprises intègrent progressivement la gestion de la dette technique dans leurs processus de développement. Des approches comme le Software Crafting visent à améliorer la qualité du code pour limiter l'accumulation de cette dette. L'absence d'outils adaptés pour mesurer les progrès rend la démarche encore plus complexe. En résumé, réduire la dette technique reste une mission délicate qui nécessite innovation, méthode et sensibilisation en interne. Il ne faut pas se Mocker … https://martinelli.ch/why-i-dont-use-mocking-frameworks-and-why-you-might-not-need-them-either/ https://blog.tremblay.pro/2025/08/not-using-mocking-frmk.html L'auteur préfère utiliser des fakes ou stubs faits à la main plutôt que des frameworks de mocking comme Mockito ou EasyMock. Les frameworks de mocking isolent le code, mais entraînent souvent : Un fort couplage entre les tests et les détails d'implémentation. Des tests qui valident le mock plutôt que le comportement réel. Deux principes fondamentaux guident son approche : Favoriser un design fonctionnel, avec logique métier pure (fonctions sans effets de bord). Contrôler les données de test : par exemple en utilisant des bases réelles (via Testcontainers) plutôt que de simuler. Dans sa pratique, les seuls cas où un mock externe est utilisé concernent les services HTTP externes, et encore il préfère en simuler seulement le transport plutôt que le comportement métier. Résultat : les tests deviennent plus simples, plus rapides à écrire, plus fiables, et moins fragiles aux évolutions du code. L'article conclut que si tu conçois correctement ton code, tu pourrais très bien ne pas avoir besoin de frameworks de mocking du tout. Le blog en réponse d'Henri Tremblay nuance un peu ces retours Méthodologies C'est quoi être un bon PM ? (Product Manager) Article de Chris Perry, un PM chez Google : https://thechrisperry.substack.com/p/being-a-good-pm-at-google Le rôle de PM est difficile : Un travail exigeant, où il faut être le plus impliqué de l'équipe pour assurer le succès. 1. Livrer (shipper) est tout ce qui compte : La priorité absolue. Mieux vaut livrer et itérer rapidement que de chercher la perfection en théorie. Un produit livré permet d'apprendre de la réalité. 2. Donner l'envie du grand large : La meilleure façon de faire avancer un projet est d'inspirer l'équipe avec une vision forte et désirable. Montrer le “pourquoi”. 3. Utiliser son produit tous les jours : Non négociable pour réussir. Permet de développer une intuition et de repérer les vrais problèmes que la recherche utilisateur ne montre pas toujours. 4. Être un bon ami : Créer des relations authentiques et aider les autres est un facteur clé de succès à long terme. La confiance est la base d'une exécution rapide. 5. Donner plus qu'on ne reçoit : Toujours chercher à aider et à collaborer. La stratégie optimale sur la durée est la coopération. Ne pas être possessif avec ses idées. 6. Utiliser le bon levier : Pour obtenir une décision, il faut identifier la bonne personne qui a le pouvoir de dire “oui”, et ne pas se laisser bloquer par des avis non décisionnaires. 7. N'aller que là où on apporte de la valeur : Combler les manques, faire le travail ingrat que personne ne veut faire. Savoir aussi s'écarter (réunions, projets) quand on n'est pas utile. 8. Le succès a plusieurs parents, l'échec est orphelin : Si le produit réussit, c'est un succès d'équipe. S'il échoue, c'est la faute du PM. Il faut assumer la responsabilité finale. Conclusion : Le PM est un chef d'orchestre. Il ne peut pas jouer de tous les instruments, mais son rôle est d'orchestrer avec humilité le travail de tous pour créer quelque chose d'harmonieux. Tester des applications Spring Boot prêtes pour la production : points clés https://www.wimdeblauwe.com/blog/2025/07/30/how-i-test-production-ready-spring-boot-applications/ L'auteur (Wim Deblauwe) détaille comment il structure ses tests dans une application Spring Boot destinée à la production. Le projet inclut automatiquement la dépendance spring-boot-starter-test, qui regroupe JUnit 5, AssertJ, Mockito, Awaitility, JsonAssert, XmlUnit et les outils de testing Spring. Tests unitaires : ciblent les fonctions pures (record, utilitaire), testés simplement avec JUnit et AssertJ sans démarrage du contexte Spring. Tests de cas d'usage (use case) : orchestrent la logique métier, généralement via des use cases qui utilisent un ou plusieurs dépôts de données. Tests JPA/repository : vérifient les interactions avec la base via des tests realisant des opérations CRUD (avec un contexte Spring pour la couche persistance). Tests de contrôleur : permettent de tester les endpoints web (ex. @WebMvcTest), souvent avec MockBean pour simuler les dépendances. Tests d'intégration complets : ils démarrent tout le contexte Spring (@SpringBootTest) pour tester l'application dans son ensemble. L'auteur évoque également des tests d'architecture, mais sans entrer dans le détail dans cet article. Résultat : une pyramide de tests allant des plus rapides (unitaires) aux plus complets (intégration), garantissant fiabilité, vitesse et couverture sans surcharge inutile. Sécurité Bitwarden offre un serveur MCP pour que les agents puissent accéder aux mots de passe https://nerds.xyz/2025/07/bitwarden-mcp-server-secure-ai/ Bitwarden introduit un serveur MCP (Model Context Protocol) destiné à intégrer de manière sécurisée les agents IA dans les workflows de gestion de mots de passe. Ce serveur fonctionne en architecture locale (local-first) : toutes les interactions et les données sensibles restent sur la machine de l'utilisateur, garantissant l'application du principe de chiffrement zero‑knowledge. L'intégration se fait via l'interface CLI de Bitwarden, permettant aux agents IA de générer, récupérer, modifier et verrouiller les identifiants via des commandes sécurisées. Le serveur peut être auto‑hébergé pour un contrôle maximal des données. Le protocole MCP est un standard ouvert qui permet de connecter de façon uniforme des agents IA à des sources de données et outils tiers, simplifiant les intégrations entre LLM et applications. Une démo avec Claude (agent IA d'Anthropic) montre que l'IA peut interagir avec le coffre Bitwarden : vérifier l'état, déverrouiller le vault, générer ou modifier des identifiants, le tout sans intervention humaine directe. Bitwarden affiche une approche priorisant la sécurité, mais reconnaît les risques liés à l'utilisation d'IA autonome. L'usage d'un LLM local privé est fortement recommandé pour limiter les vulnérabilités. Si tu veux, je peux aussi te résumer les enjeux principaux (interopérabilité, sécurité, cas d'usage) ou un extrait spécifique ! NVIDIA a une faille de securite critique https://www.wiz.io/blog/nvidia-ai-vulnerability-cve–2025–23266-nvidiascape Il s'agit d'une faille d'évasion de conteneur dans le NVIDIA Container Toolkit. La gravité est jugée critique avec un score CVSS de 9.0. Cette vulnérabilité permet à un conteneur malveillant d'obtenir un accès root complet sur l'hôte. L'origine du problème vient d'une mauvaise configuration des hooks OCI dans le toolkit. L'exploitation peut se faire très facilement, par exemple avec un Dockerfile de seulement trois lignes. Le risque principal concerne la compromission de l'isolation entre différents clients sur des infrastructures cloud GPU partagées. Les versions affectées incluent toutes les versions du NVIDIA Container Toolkit jusqu'à la 1.17.7 et du NVIDIA GPU Operator jusqu'à la version 25.3.1. Pour atténuer le risque, il est recommandé de mettre à jour vers les dernières versions corrigées. En attendant, il est possible de désactiver certains hooks problématiques dans la configuration pour limiter l'exposition. Cette faille met en lumière l'importance de renforcer la sécurité des environnements GPU partagés et la gestion des conteneurs AI. Fuite de données de l'application Tea : points essentiels https://knowyourmeme.com/memes/events/the-tea-app-data-leak Tea est une application lancée en 2023 qui permet aux femmes de laisser des avis anonymes sur des hommes rencontrés. En juillet 2025, une importante fuite a exposé environ 72 000 images sensibles (selfies, pièces d'identité) et plus d'1,1 million de messages privés. La fuite a été révélée après qu'un utilisateur ait partagé un lien pour télécharger la base de données compromise. Les données touchées concernaient majoritairement des utilisateurs inscrits avant février 2024, date à laquelle l'application a migré vers une infrastructure plus sécurisée. En réponse, Tea prévoit de proposer des services de protection d'identité aux utilisateurs impactés. Faille dans le paquet npm is : attaque en chaîne d'approvisionnement https://socket.dev/blog/npm-is-package-hijacked-in-expanding-supply-chain-attack Une campagne de phishing ciblant les mainteneurs npm a compromis plusieurs comptes, incluant celui du paquet is. Des versions compromises du paquet is (notamment les versions 3.3.1 et 5.0.0) contenaient un chargeur de malware JavaScript destiné aux systèmes Windows. Ce malware a offert aux attaquants un accès à distance via WebSocket, permettant potentiellement l'exécution de code arbitraire. L'attaque fait suite à d'autres compromissions de paquets populaires comme eslint-config-prettier, eslint-plugin-prettier, synckit, @pkgr/core, napi-postinstall, et got-fetch. Tous ces paquets ont été publiés sans aucun commit ou PR sur leurs dépôts GitHub respectifs, signalant un accès non autorisé aux tokens mainteneurs. Le domaine usurpé [npnjs.com](http://npnjs.com) a été utilisé pour collecter les jetons d'accès via des emails de phishing trompeurs. L'épisode met en lumière la fragilité des chaînes d'approvisionnement logicielle dans l'écosystème npm et la nécessité d'adopter des pratiques renforcées de sécurité autour des dépendances. Revues de sécurité automatisées avec Claude Code https://www.anthropic.com/news/automate-security-reviews-with-claude-code Anthropic a lancé des fonctionnalités de sécurité automatisées pour Claude Code, un assistant de codage d'IA en ligne de commande. Ces fonctionnalités ont été introduites en réponse au besoin croissant de maintenir la sécurité du code alors que les outils d'IA accélèrent considérablement le développement de logiciels. Commande /security-review : les développeurs peuvent exécuter cette commande dans leur terminal pour demander à Claude d'identifier les vulnérabilités de sécurité, notamment les risques d'injection SQL, les vulnérabilités de script intersite (XSS), les failles d'authentification et d'autorisation, ainsi que la gestion non sécurisée des données. Claude peut également suggérer et implémenter des correctifs. Intégration GitHub Actions : une nouvelle action GitHub permet à Claude Code d'analyser automatiquement chaque nouvelle demande d'extraction (pull request). L'outil examine les modifications de code pour y trouver des vulnérabilités, applique des règles personnalisables pour filtrer les faux positifs et commente directement la demande d'extraction avec les problèmes détectés et les correctifs recommandés. Ces fonctionnalités sont conçues pour créer un processus d'examen de sécurité cohérent et s'intégrer aux pipelines CI/CD existants, ce qui permet de s'assurer qu'aucun code n'atteint la production sans un examen de sécurité de base. Loi, société et organisation Google embauche les personnes clés de Windsurf https://www.blog-nouvelles-technologies.fr/333959/openai-windsurf-google-deepmind-codage-agentique/ windsurf devait être racheté par OpenAI Google ne fait pas d'offre de rachat mais débauche quelques personnes clés de Windsurf Windsurf reste donc indépendante mais sans certains cerveaux y compris son PDG. Les nouveaux dirigeants sont les ex leaders des force de vente Donc plus une boîte tech Pourquoi le deal a 3 milliard est tombé à l'eau ? On ne sait pas mais la divergence et l‘indépendance technologique est possiblement en cause. Les transfuge vont bosser chez Deepmind dans le code argentique Opinion Article: https://www.linkedin.com/pulse/dear-people-who-think-ai-low-skilled-code-monkeys-future-jan-moser-svade/ Jan Moser critique ceux qui pensent que l'IA et les développeurs peu qualifiés peuvent remplacer les ingénieurs logiciels compétents. Il cite l'exemple de l'application Tea, une plateforme de sécurité pour femmes, qui a exposé 72 000 images d'utilisateurs en raison d'une mauvaise configuration de Firebase et d'un manque de pratiques de développement sécurisées. Il souligne que l'absence de contrôles automatisés et de bonnes pratiques de sécurité a permis cette fuite de données. Moser avertit que des outils comme l'IA ne peuvent pas compenser l'absence de compétences en génie logiciel, notamment en matière de sécurité, de gestion des erreurs et de qualité du code. Il appelle à une reconnaissance de la valeur des ingénieurs logiciels qualifiés et à une approche plus rigoureuse dans le développement logiciel. YouTube déploie une technologie d'estimation d'âge pour identifier les adolescents aux États-Unis https://techcrunch.com/2025/07/29/youtube-rolls-out-age-estimatation-tech-to-identify-u-s-teens-and-apply-additional-protections/ Sujet très à la mode, surtout au UK mais pas que… YouTube commence à déployer une technologie d'estimation d'âge basée sur l'IA pour identifier les utilisateurs adolescents aux États-Unis, indépendamment de l'âge déclaré lors de l'inscription. Cette technologie analyse divers signaux comportementaux, tels que l'historique de visionnage, les catégories de vidéos consultées et l'âge du compte. Lorsqu'un utilisateur est identifié comme adolescent, YouTube applique des protections supplémentaires, notamment : Désactivation des publicités personnalisées. Activation des outils de bien-être numérique, tels que les rappels de temps d'écran et de coucher. Limitation de la visualisation répétée de contenus sensibles, comme ceux liés à l'image corporelle. Si un utilisateur est incorrectement identifié comme mineur, il peut vérifier son âge via une pièce d'identité gouvernementale, une carte de crédit ou un selfie. Ce déploiement initial concerne un petit groupe d'utilisateurs aux États-Unis et sera étendu progressivement. Cette initiative s'inscrit dans les efforts de YouTube pour renforcer la sécurité des jeunes utilisateurs en ligne. Mistral AI : contribution à un standard environnemental pour l'IA https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai Mistral AI a réalisé la première analyse de cycle de vie complète d'un modèle d'IA, en collaboration avec plusieurs partenaires. L'étude quantifie l'impact environnemental du modèle Mistral Large 2 sur les émissions de gaz à effet de serre, la consommation d'eau, et l'épuisement des ressources. La phase d'entraînement a généré 20,4 kilotonnes de CO₂ équivalent, consommé 281 000 m³ d'eau, et utilisé 660 kg SB-eq (mineral consumption). Pour une réponse de 400 tokens, l'impact marginal est faible mais non négligeable : 1,14 gramme de CO₂, 45 mL d'eau, et 0,16 mg d'équivalent antimoine. Mistral propose trois indicateurs pour évaluer cet impact : l'impact absolu de l'entraînement, l'impact marginal de l'inférence, et le ratio inference/impact total sur le cycle de vie. L'entreprise souligne l'importance de choisir le modèle en fonction du cas d'usage pour limiter l'empreinte environnementale. Mistral appelle à plus de transparence et à l'adoption de standards internationaux pour permettre une comparaison claire entre modèles. L'IA promettait plus d'efficacité… elle nous fait surtout travailler plus https://afterburnout.co/p/ai-promised-to-make-us-more-efficient Les outils d'IA devaient automatiser les tâches pénibles et libérer du temps pour les activités stratégiques et créatives. En réalité, le temps gagné est souvent aussitôt réinvesti dans d'autres tâches, créant une surcharge. Les utilisateurs croient être plus productifs avec l'IA, mais les données contredisent cette impression : une étude montre que les développeurs utilisant l'IA prennent 19 % de temps en plus pour accomplir leurs tâches. Le rapport DORA 2024 observe une baisse de performance globale des équipes lorsque l'usage de l'IA augmente : –1,5 % de throughput et –7,2 % de stabilité de livraison pour +25 % d'adoption de l'IA. L'IA ne réduit pas la charge mentale, elle la déplace : rédaction de prompts, vérification de résultats douteux, ajustements constants… Cela épuise et limite le temps de concentration réelle. Cette surcharge cognitive entraîne une forme de dette mentale : on ne gagne pas vraiment du temps, on le paie autrement. Le vrai problème vient de notre culture de la productivité, qui pousse à toujours vouloir optimiser, quitte à alimenter l'épuisement professionnel. Trois pistes concrètes : Repenser la productivité non en temps gagné, mais en énergie préservée. Être sélectif dans l'usage des outils IA, en fonction de son ressenti et non du battage médiatique. Accepter la courbe en J : l'IA peut être utile, mais nécessite des ajustements profonds pour produire des gains réels. Le vrai hack de productivité ? Parfois, ralentir pour rester lucide et durable. Conférences MCP Submit Europe https://mcpdevsummit.ai/ Retour de JavaOne en 2026 https://inside.java/2025/08/04/javaone-returns–2026/ JavaOne, la conférence dédiée à la communauté Java, fait son grand retour dans la Bay Area du 17 au 19 mars 2026. Après le succès de l'édition 2025, ce retour s'inscrit dans la continuité de la mission initiale de la conférence : rassembler la communauté pour apprendre, collaborer et innover. La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 25–27 août 2025 : SHAKA Biarritz - Biarritz (France) 5 septembre 2025 : JUG Summer Camp 2025 - La Rochelle (France) 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 15 septembre 2025 : Agile Tour Montpellier - Montpellier (France) 18–19 septembre 2025 : API Platform Conference - Lille (France) & Online 22–24 septembre 2025 : Kernel Recipes - Paris (France) 22–27 septembre 2025 : La Mélée Numérique - Toulouse (France) 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 23–24 septembre 2025 : AI Engineer Paris - Paris (France) 25 septembre 2025 : Agile Game Toulouse - Toulouse (France) 25–26 septembre 2025 : Paris Web 2025 - Paris (France) 30 septembre 2025–1 octobre 2025 : PyData Paris 2025 - Paris (France) 2 octobre 2025 : Nantes Craft - Nantes (France) 2–3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 3 octobre 2025 : DevFest Perros-Guirec 2025 - Perros-Guirec (France) 6–7 octobre 2025 : Swift Connection 2025 - Paris (France) 6–10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 7 octobre 2025 : BSides Mulhouse - Mulhouse (France) 7–8 octobre 2025 : Agile en Seine - Issy-les-Moulineaux (France) 8–10 octobre 2025 : SIG 2025 - Paris (France) & Online 9 octobre 2025 : DevCon #25 : informatique quantique - Paris (France) 9–10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 9–10 octobre 2025 : EuroRust 2025 - Paris (France) 16 octobre 2025 : PlatformCon25 Live Day Paris - Paris (France) 16 octobre 2025 : Power 365 - 2025 - Lille (France) 16–17 octobre 2025 : DevFest Nantes - Nantes (France) 17 octobre 2025 : Sylius Con 2025 - Lyon (France) 17 octobre 2025 : ScalaIO 2025 - Paris (France) 17–19 octobre 2025 : OpenInfra Summit Europe - Paris (France) 20 octobre 2025 : Codeurs en Seine - Rouen (France) 23 octobre 2025 : Cloud Nord - Lille (France) 30–31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30–31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025–2 novembre 2025 : PyConFR 2025 - Lyon (France) 4–7 novembre 2025 : NewCrafts 2025 - Paris (France) 5–6 novembre 2025 : Tech Show Paris - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12–14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15–16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19–21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1–2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4–5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9–11 décembre 2025 : APIdays Paris - Paris (France) 9–11 décembre 2025 : Green IO Paris - Paris (France) 10–11 décembre 2025 : Devops REX - Paris (France) 10–11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 28–31 janvier 2026 : SnowCamp 2026 - Grenoble (France) 2–6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 12–13 février 2026 : Touraine Tech #26 - Tours (France) 22–24 avril 2026 : Devoxx France 2026 - Paris (France) 23–25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Support Stuart & David's MissionPowercademy Calendar by Howdang and JonDoesFlowIntroducing Copilot Mode in Edge The AI ManifestoMicrosoft incorporates OpenAI's GPT-5Copilot Studio Flows by George TzaniThe evolution of Agent Flows in Copilot Studio by Damien Bird

Burke Holland is a Principal Developer Advocate at Microsoft who leads the Developer Tools Advocacy team. He's done so much in developer tools, like growing VS Code from 6M to 40M+ users. He's a frequent speaker at conferences like Microsoft Build, Ignite, GitHub Universe, QCon, and VS Code Day, which he helped create. He's led many product launches for GitHub Copilot, Codespaces, and more. He has a very popular YouTube channel talking about developer tech.   Topics of Discussion: [3:33] Burke describes his transition from being a good developer to an evangelist, inspired by a Visual Studio evangelist he met. [6:27] The rapid pace of change in the software development world compared to other industries. [9:22] AI-driven development and the various modes available in VS Code, including ask mode, edit mode, and agent mode. [15:41] Burke describes the current moment in AI developer tooling — no one really knows yet what the end product is supposed to be. Everyone agrees AI will help developers, but exactly how is still being figured out. [16:39] What are the right questions to ask AI? [17:41] The importance of providing the AI with the right context to ensure accurate and efficient development. [25:05] AI's unpredictability makes it difficult to rely on it for consistent development tasks, which is frustrating and foreign to most developers. [32:18] Burke explains that while local AI models can handle small, scoped tasks like generating a function's contents, they still fall far short of the performance needed for more complex jobs compared to models like GPT-4 or Claude. [37:18] Co-Pilot's competition. [38:23] Inspiration to people that as long as you are the software architect, you can do anything.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. VS Code Day 2024 Youtube.com/@BurkeHolland/videos Burkeholland.github.io/resume/ Build.microsoft.com/en-US/speakers/0e476452-35ca-4750-ac78-393c0d8c4cb3 Linkedin.com/in/burkeholland/   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Obvious: ChatGPT's GPT-5 is here and it's really good.Not so obvious: the gap between novice and experts just shrunk 90%. In a short few hours, OpenAI gave even free users access to now the world's most powerful model. As the most used AI chatbot in the world by a wide margin, the quality work we all produce has also just gotten a huge bump. But there's a lot beneath the surface. Join us as we dissect what's new in GPT-5 and 7 big trends you probably don't know but should pay attention to. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Official Release OverviewGPT-5 User Rollout to 700 MillionGPT-5 Unified Hybrid Model ArchitectureAuto Model Switching and User ControlMajor Upgrade for Free ChatGPT UsersGPT-5 Benchmark and Accuracy ImprovementsGPT-5 Vibe Coding and Canvas FeaturesAdvanced Voice Mode in Custom GPTsReduced Hallucinations and SycophancyMicrosoft Copilot Instant GPT-5 UpgradeImpact on Enterprise Software and APIsGPT-5 Disruptive API Pricing StructureTrends in Corporate AI AdoptionTimestamps:00:00 "Everyday AI Insights"05:54 "Adaptive Model Response Modes"08:14 GPT4O Model Critique11:17 GPT4O Nano Upgrade Impact17:26 GPT Model Selection Simplified20:53 Canvas Code Rendering and Quick Answer Feature24:09 "GPT5 Model Routing Overview"26:44 "GPT-5: Your New Daily Driver"30:08 AI Model Advances: Game-Changing Improvements33:43 Advanced Voice Mode in GPTs37:45 Massive Microsoft Copilot Upgrade38:49 Software Access and Licensing Challenges43:09 AI Implementation Challenges in Top Companies46:37 "GPT-5 Testing and Trends"Keywords:GPT-5, GPT5, OpenAI, AI model update, Large Language Model, flagship model, hybrid model, AI technology, model auto-switching, deep thinking mode, fast response mode, model router, free AI access, paid ChatGPT users, ChatGPT free users, model selection, GPT-4O, GPT-4 Turbo, model reasoning, hallucination rate, sycophancy reduction, advanced voice mode, GPTs custom models, Canvas mode, Vibe coding, API pricing, API tokens, Microsoft Copilot, Microsoft 365 Copilot, GitHub Copilot, enterprise AI upgrade, LM arena, ELO score, Anthropic, Claude 4.1, Claude Sonnet, Gemini 2.5 Pro, personalized AI assistant, software innovation, coding capabilities, Inc 5000 companies, enterprise adoption, custom instructions, Pro plan, Plus plan, thinking mode, human preference, automated rSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Is there still a place for no/low-code tools like those in Microsoft's Power Platform with the rise of generative AI and GitHub Copilot? The New Stack's news editor Darryl Taft joins Directions Rob Sanfilippo and Mary Jo Foley to debate the topic.

This is Alex Heath, deputy editor at The Verge. My guest today is GitHub CEO Thomas Dohmke. In many ways, GitHub Copilot set off the current AI coding boom. But since Thomas was on the show a year ago, the rise of vibe coding has shifted the buzz to newer platforms like Cursor and Windsurf. As you'll hear in our conversation, Thomas is thinking a lot about the competition, and GitHub's role in the future of software development.  Links: Developers, Reinvented | Thomas Dohmke / GitHub Developer Odyssey | Thomas Dohmke / GitHub Why tech is racing to adopt AI coding, with Cursor's Michael Truell | Decoder GitHub CEO Thomas Dohmke says AI needs competition to thrive | ⁠⁠Decoder⁠⁠ Up to 30 percent of some Microsoft code is now written by AI | Verge GitHub launches its AI app-making tool in preview | Verge Microsoft is getting ready for GPT-5 with a new Copilot smart mode | Verge Zuckerberg: AI will write most Meta code within 18 months | Engadget Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. This episode was edited by Xander Adams. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Microsoft's fiscal year ended on a high note, assuming you didn't just get laid off. WinSAT's formal assessment will give you some interesting PC performance information, similar to the old WEI score from Windows Vista. And Proton finally makes a standalone authenticator app; How to transition from whatever you're currently using and why you'll need to keep using Microsoft Authenticator too.Microsoft Earning Quarterly: net income of $27.2 billion on revenues of $76.4 billion. Those figures represent gains of 24 percent and 18 percent, respectively, year-over-year (YOY) Annual: a net income of $101.8 billion (up 16 percent YOY) on revenues of $281.7 billion (up 15 percent) Another look at layoffs, which are nothing new under Satya Nadella - Over 17,000 in CY 2025 so far, despite over $100 billion in profits in FY Headcount "unchanged" YOY Big announcements below were likely made to avoid Qs about layoffs and it almost worked AI spending in FY was about $85 billion, higher than promised AI spending in this quarter will jump to $30 billion (!!!!) Azure earned $75 billion in revenues in FY, its first-ever disclosure of this number - Fun with math, that means $56 billion in revenues in previous FY. How far back can we go? Microsoft's market cap exceeded $4 trillion after earnings release "Copilot" has over 100 million MAUs, really M365 Copilot, which even Nadella thinks is a new M365 tier GitHub Copilot has over 20 million MAUs, probably most are free HUGE gains in Microsoft Gaming/Xbox, discussed below Windows 11 But first, something completely different: Microsoft's "vision" for Windows in 2030 David Weston a curious choice for this video, first in a series - he's in security Daily work life changes thanks to AI - less toil work, less eyes and more talking, multimodal interactions Security - customers want appliance-level security, "it just works" security - Degenerates into a general security discussion Back to AI, reclaiming our lives Windows 11 SE, RIP - We hardly knew you. Literally. Insider: Changes to Home view in File Explorer for Work and School sign-ins, Settings app changes in Dev (25H2) and Beta (24H2) More earnings AMD - HUGE gains in its PC businesses! Qualcomm up 10% Apple up 9.6% Amazon up 13% AI & dev OpenAI releases its first open-weight reasoning models and Microsoft gives them away for free Apple is trying to Sherlock ChatGPT Of course Alexa+ will get ads Dev: Microsoft has a native app problem on Windows Microsoft says it will fix Windows App SDK Paul just switched .NETpad to the Windows App SDK and can confirm it's a nightmare WPF is half-assed... and last year, it took Microsoft over 9 months to deliver the first Windows Copilot Runtime capabilities to devs, but you still can't use this in production. Also, it's not called that anymore Xbox & games Microsoft Gaming has over 500 million MAUs - More fun with math COD has 50 million MAUs Microsoft has nearly 40 games in development Xbox Game Pass has $5 billion in revenues in FY, over 500 million hours played in FY Gaming Copilot (Beta) is available on Game Bar for Windows PC for Xbox Insiders enrolled in the PC Gaming Preview Assassin's Creed Mirage and more coming to Game Pass this month OG Switch models now cost more thanks to tariffs Tips & Picks Tip of the week: These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/944 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: 1password.com/windowsweekly uscloud.com

Microsoft's fiscal year ended on a high note, assuming you didn't just get laid off. WinSAT's formal assessment will give you some interesting PC performance information, similar to the old WEI score from Windows Vista. And Proton finally makes a standalone authenticator app; How to transition from whatever you're currently using and why you'll need to keep using Microsoft Authenticator too.Microsoft Earning Quarterly: net income of $27.2 billion on revenues of $76.4 billion. Those figures represent gains of 24 percent and 18 percent, respectively, year-over-year (YOY) Annual: a net income of $101.8 billion (up 16 percent YOY) on revenues of $281.7 billion (up 15 percent) Another look at layoffs, which are nothing new under Satya Nadella - Over 17,000 in CY 2025 so far, despite over $100 billion in profits in FY Headcount "unchanged" YOY Big announcements below were likely made to avoid Qs about layoffs and it almost worked AI spending in FY was about $85 billion, higher than promised AI spending in this quarter will jump to $30 billion (!!!!) Azure earned $75 billion in revenues in FY, its first-ever disclosure of this number - Fun with math, that means $56 billion in revenues in previous FY. How far back can we go? Microsoft's market cap exceeded $4 trillion after earnings release "Copilot" has over 100 million MAUs, really M365 Copilot, which even Nadella thinks is a new M365 tier GitHub Copilot has over 20 million MAUs, probably most are free HUGE gains in Microsoft Gaming/Xbox, discussed below Windows 11 But first, something completely different: Microsoft's "vision" for Windows in 2030 David Weston a curious choice for this video, first in a series - he's in security Daily work life changes thanks to AI - less toil work, less eyes and more talking, multimodal interactions Security - customers want appliance-level security, "it just works" security - Degenerates into a general security discussion Back to AI, reclaiming our lives Windows 11 SE, RIP - We hardly knew you. Literally. Insider: Changes to Home view in File Explorer for Work and School sign-ins, Settings app changes in Dev (25H2) and Beta (24H2) More earnings AMD - HUGE gains in its PC businesses! Qualcomm up 10% Apple up 9.6% Amazon up 13% AI & dev OpenAI releases its first open-weight reasoning models and Microsoft gives them away for free Apple is trying to Sherlock ChatGPT Of course Alexa+ will get ads Dev: Microsoft has a native app problem on Windows Microsoft says it will fix Windows App SDK Paul just switched .NETpad to the Windows App SDK and can confirm it's a nightmare WPF is half-assed... and last year, it took Microsoft over 9 months to deliver the first Windows Copilot Runtime capabilities to devs, but you still can't use this in production. Also, it's not called that anymore Xbox & games Microsoft Gaming has over 500 million MAUs - More fun with math COD has 50 million MAUs Microsoft has nearly 40 games in development Xbox Game Pass has $5 billion in revenues in FY, over 500 million hours played in FY Gaming Copilot (Beta) is available on Game Bar for Windows PC for Xbox Insiders enrolled in the PC Gaming Preview Assassin's Creed Mirage and more coming to Game Pass this month OG Switch models now cost more thanks to tariffs Tips & Picks Tip of the week: These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/944 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: 1password.com/windowsweekly uscloud.com

Microsoft's fiscal year ended on a high note, assuming you didn't just get laid off. WinSAT's formal assessment will give you some interesting PC performance information, similar to the old WEI score from Windows Vista. And Proton finally makes a standalone authenticator app; How to transition from whatever you're currently using and why you'll need to keep using Microsoft Authenticator too.Microsoft Earning Quarterly: net income of $27.2 billion on revenues of $76.4 billion. Those figures represent gains of 24 percent and 18 percent, respectively, year-over-year (YOY) Annual: a net income of $101.8 billion (up 16 percent YOY) on revenues of $281.7 billion (up 15 percent) Another look at layoffs, which are nothing new under Satya Nadella - Over 17,000 in CY 2025 so far, despite over $100 billion in profits in FY Headcount "unchanged" YOY Big announcements below were likely made to avoid Qs about layoffs and it almost worked AI spending in FY was about $85 billion, higher than promised AI spending in this quarter will jump to $30 billion (!!!!) Azure earned $75 billion in revenues in FY, its first-ever disclosure of this number - Fun with math, that means $56 billion in revenues in previous FY. How far back can we go? Microsoft's market cap exceeded $4 trillion after earnings release "Copilot" has over 100 million MAUs, really M365 Copilot, which even Nadella thinks is a new M365 tier GitHub Copilot has over 20 million MAUs, probably most are free HUGE gains in Microsoft Gaming/Xbox, discussed below Windows 11 But first, something completely different: Microsoft's "vision" for Windows in 2030 David Weston a curious choice for this video, first in a series - he's in security Daily work life changes thanks to AI - less toil work, less eyes and more talking, multimodal interactions Security - customers want appliance-level security, "it just works" security - Degenerates into a general security discussion Back to AI, reclaiming our lives Windows 11 SE, RIP - We hardly knew you. Literally. Insider: Changes to Home view in File Explorer for Work and School sign-ins, Settings app changes in Dev (25H2) and Beta (24H2) More earnings AMD - HUGE gains in its PC businesses! Qualcomm up 10% Apple up 9.6% Amazon up 13% AI & dev OpenAI releases its first open-weight reasoning models and Microsoft gives them away for free Apple is trying to Sherlock ChatGPT Of course Alexa+ will get ads Dev: Microsoft has a native app problem on Windows Microsoft says it will fix Windows App SDK Paul just switched .NETpad to the Windows App SDK and can confirm it's a nightmare WPF is half-assed... and last year, it took Microsoft over 9 months to deliver the first Windows Copilot Runtime capabilities to devs, but you still can't use this in production. Also, it's not called that anymore Xbox & games Microsoft Gaming has over 500 million MAUs - More fun with math COD has 50 million MAUs Microsoft has nearly 40 games in development Xbox Game Pass has $5 billion in revenues in FY, over 500 million hours played in FY Gaming Copilot (Beta) is available on Game Bar for Windows PC for Xbox Insiders enrolled in the PC Gaming Preview Assassin's Creed Mirage and more coming to Game Pass this month OG Switch models now cost more thanks to tariffs Tips & Picks Tip of the week: These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/944 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: 1password.com/windowsweekly uscloud.com

Microsoft's fiscal year ended on a high note, assuming you didn't just get laid off. WinSAT's formal assessment will give you some interesting PC performance information, similar to the old WEI score from Windows Vista. And Proton finally makes a standalone authenticator app; How to transition from whatever you're currently using and why you'll need to keep using Microsoft Authenticator too.Microsoft Earning Quarterly: net income of $27.2 billion on revenues of $76.4 billion. Those figures represent gains of 24 percent and 18 percent, respectively, year-over-year (YOY) Annual: a net income of $101.8 billion (up 16 percent YOY) on revenues of $281.7 billion (up 15 percent) Another look at layoffs, which are nothing new under Satya Nadella - Over 17,000 in CY 2025 so far, despite over $100 billion in profits in FY Headcount "unchanged" YOY Big announcements below were likely made to avoid Qs about layoffs and it almost worked AI spending in FY was about $85 billion, higher than promised AI spending in this quarter will jump to $30 billion (!!!!) Azure earned $75 billion in revenues in FY, its first-ever disclosure of this number - Fun with math, that means $56 billion in revenues in previous FY. How far back can we go? Microsoft's market cap exceeded $4 trillion after earnings release "Copilot" has over 100 million MAUs, really M365 Copilot, which even Nadella thinks is a new M365 tier GitHub Copilot has over 20 million MAUs, probably most are free HUGE gains in Microsoft Gaming/Xbox, discussed below Windows 11 But first, something completely different: Microsoft's "vision" for Windows in 2030 David Weston a curious choice for this video, first in a series - he's in security Daily work life changes thanks to AI - less toil work, less eyes and more talking, multimodal interactions Security - customers want appliance-level security, "it just works" security - Degenerates into a general security discussion Back to AI, reclaiming our lives Windows 11 SE, RIP - We hardly knew you. Literally. Insider: Changes to Home view in File Explorer for Work and School sign-ins, Settings app changes in Dev (25H2) and Beta (24H2) More earnings AMD - HUGE gains in its PC businesses! Qualcomm up 10% Apple up 9.6% Amazon up 13% AI & dev OpenAI releases its first open-weight reasoning models and Microsoft gives them away for free Apple is trying to Sherlock ChatGPT Of course Alexa+ will get ads Dev: Microsoft has a native app problem on Windows Microsoft says it will fix Windows App SDK Paul just switched .NETpad to the Windows App SDK and can confirm it's a nightmare WPF is half-assed... and last year, it took Microsoft over 9 months to deliver the first Windows Copilot Runtime capabilities to devs, but you still can't use this in production. Also, it's not called that anymore Xbox & games Microsoft Gaming has over 500 million MAUs - More fun with math COD has 50 million MAUs Microsoft has nearly 40 games in development Xbox Game Pass has $5 billion in revenues in FY, over 500 million hours played in FY Gaming Copilot (Beta) is available on Game Bar for Windows PC for Xbox Insiders enrolled in the PC Gaming Preview Assassin's Creed Mirage and more coming to Game Pass this month OG Switch models now cost more thanks to tariffs Tips & Picks Tip of the week: These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/944 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: 1password.com/windowsweekly uscloud.com

Microsoft's fiscal year ended on a high note, assuming you didn't just get laid off. WinSAT's formal assessment will give you some interesting PC performance information, similar to the old WEI score from Windows Vista. And Proton finally makes a standalone authenticator app; How to transition from whatever you're currently using and why you'll need to keep using Microsoft Authenticator too.Microsoft Earning Quarterly: net income of $27.2 billion on revenues of $76.4 billion. Those figures represent gains of 24 percent and 18 percent, respectively, year-over-year (YOY) Annual: a net income of $101.8 billion (up 16 percent YOY) on revenues of $281.7 billion (up 15 percent) Another look at layoffs, which are nothing new under Satya Nadella - Over 17,000 in CY 2025 so far, despite over $100 billion in profits in FY Headcount "unchanged" YOY Big announcements below were likely made to avoid Qs about layoffs and it almost worked AI spending in FY was about $85 billion, higher than promised AI spending in this quarter will jump to $30 billion (!!!!) Azure earned $75 billion in revenues in FY, its first-ever disclosure of this number - Fun with math, that means $56 billion in revenues in previous FY. How far back can we go? Microsoft's market cap exceeded $4 trillion after earnings release "Copilot" has over 100 million MAUs, really M365 Copilot, which even Nadella thinks is a new M365 tier GitHub Copilot has over 20 million MAUs, probably most are free HUGE gains in Microsoft Gaming/Xbox, discussed below Windows 11 But first, something completely different: Microsoft's "vision" for Windows in 2030 David Weston a curious choice for this video, first in a series - he's in security Daily work life changes thanks to AI - less toil work, less eyes and more talking, multimodal interactions Security - customers want appliance-level security, "it just works" security - Degenerates into a general security discussion Back to AI, reclaiming our lives Windows 11 SE, RIP - We hardly knew you. Literally. Insider: Changes to Home view in File Explorer for Work and School sign-ins, Settings app changes in Dev (25H2) and Beta (24H2) More earnings AMD - HUGE gains in its PC businesses! Qualcomm up 10% Apple up 9.6% Amazon up 13% AI & dev OpenAI releases its first open-weight reasoning models and Microsoft gives them away for free Apple is trying to Sherlock ChatGPT Of course Alexa+ will get ads Dev: Microsoft has a native app problem on Windows Microsoft says it will fix Windows App SDK Paul just switched .NETpad to the Windows App SDK and can confirm it's a nightmare WPF is half-assed... and last year, it took Microsoft over 9 months to deliver the first Windows Copilot Runtime capabilities to devs, but you still can't use this in production. Also, it's not called that anymore Xbox & games Microsoft Gaming has over 500 million MAUs - More fun with math COD has 50 million MAUs Microsoft has nearly 40 games in development Xbox Game Pass has $5 billion in revenues in FY, over 500 million hours played in FY Gaming Copilot (Beta) is available on Game Bar for Windows PC for Xbox Insiders enrolled in the PC Gaming Preview Assassin's Creed Mirage and more coming to Game Pass this month OG Switch models now cost more thanks to tariffs Tips & Picks Tip of the week: These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/944 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: 1password.com/windowsweekly uscloud.com

Microsoft's fiscal year ended on a high note, assuming you didn't just get laid off. WinSAT's formal assessment will give you some interesting PC performance information, similar to the old WEI score from Windows Vista. And Proton finally makes a standalone authenticator app; How to transition from whatever you're currently using and why you'll need to keep using Microsoft Authenticator too.Microsoft Earning Quarterly: net income of $27.2 billion on revenues of $76.4 billion. Those figures represent gains of 24 percent and 18 percent, respectively, year-over-year (YOY) Annual: a net income of $101.8 billion (up 16 percent YOY) on revenues of $281.7 billion (up 15 percent) Another look at layoffs, which are nothing new under Satya Nadella - Over 17,000 in CY 2025 so far, despite over $100 billion in profits in FY Headcount "unchanged" YOY Big announcements below were likely made to avoid Qs about layoffs and it almost worked AI spending in FY was about $85 billion, higher than promised AI spending in this quarter will jump to $30 billion (!!!!) Azure earned $75 billion in revenues in FY, its first-ever disclosure of this number - Fun with math, that means $56 billion in revenues in previous FY. How far back can we go? Microsoft's market cap exceeded $4 trillion after earnings release "Copilot" has over 100 million MAUs, really M365 Copilot, which even Nadella thinks is a new M365 tier GitHub Copilot has over 20 million MAUs, probably most are free HUGE gains in Microsoft Gaming/Xbox, discussed below Windows 11 But first, something completely different: Microsoft's "vision" for Windows in 2030 David Weston a curious choice for this video, first in a series - he's in security Daily work life changes thanks to AI - less toil work, less eyes and more talking, multimodal interactions Security - customers want appliance-level security, "it just works" security - Degenerates into a general security discussion Back to AI, reclaiming our lives Windows 11 SE, RIP - We hardly knew you. Literally. Insider: Changes to Home view in File Explorer for Work and School sign-ins, Settings app changes in Dev (25H2) and Beta (24H2) More earnings AMD - HUGE gains in its PC businesses! Qualcomm up 10% Apple up 9.6% Amazon up 13% AI & dev OpenAI releases its first open-weight reasoning models and Microsoft gives them away for free Apple is trying to Sherlock ChatGPT Of course Alexa+ will get ads Dev: Microsoft has a native app problem on Windows Microsoft says it will fix Windows App SDK Paul just switched .NETpad to the Windows App SDK and can confirm it's a nightmare WPF is half-assed... and last year, it took Microsoft over 9 months to deliver the first Windows Copilot Runtime capabilities to devs, but you still can't use this in production. Also, it's not called that anymore Xbox & games Microsoft Gaming has over 500 million MAUs - More fun with math COD has 50 million MAUs Microsoft has nearly 40 games in development Xbox Game Pass has $5 billion in revenues in FY, over 500 million hours played in FY Gaming Copilot (Beta) is available on Game Bar for Windows PC for Xbox Insiders enrolled in the PC Gaming Preview Assassin's Creed Mirage and more coming to Game Pass this month OG Switch models now cost more thanks to tariffs Tips & Picks Tip of the week: These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/944 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: 1password.com/windowsweekly uscloud.com

```html join wall-e for today's tech briefing on thursday, july 31, as we explore key developments in the tech world: meta's ai investment surge: plans to invest up to $72 billion in ai infrastructure by 2025, focusing on top-tier models and product experiences with supercluster-level computing powers, amidst local challenges in georgia. github copilot milestone: microsoft-owned github's ai coding tool copilot surpasses 20 million users, with 90% adoption among fortune 100 companies, facing competition from similar tools. meta's ai-integrated glasses vision: ceo mark zuckerberg highlights ai glasses as the primary interface for technology interaction, reinforcing meta's commitment to smart eyewear. figma's successful ipo: achieving a $19.3 billion valuation with shares in high demand and $1.2 billion raised, despite regulatory challenges, marking strong investor confidence. tune in tomorrow for more updates! ```

#309: In this episode, Darin and Viktor discuss their personal experiences and insights related to the rapid advancements in AI technology, particularly focused on AI agents like GitHub Copilot, Cursor, and Claude Code. They examine the paradigm shift in development practices due to these technologies, providing a critical evaluation of their effectiveness and efficiency. The conversation delves into the role of agents, how they operate alongside large language models (LLMs), and the intricacies of context management. They also reflect on the challenges and benefits of restarting projects when they veer off course, emphasizing the impact of AI in such scenarios. Additionally, they address the hurdles and considerations for integrating and managing multiple AI tools and agents in a development environment. This episode sets the stage for future discussions on how developers can adapt to and leverage these evolving AI tools effectively.   Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027 https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

How do you get from ClickOps to DevOps? While at Build, Richard chatted with Steven Bucher about using Copilot in Azure to help build PowerShell scripts with Azure CLI to get you moving down the path of repeatable deployment. Steven talks about interacting with Copilot in Azure through the Portal, Azure CLI, and PowerShell. Using tools like GitHub Copilot in Visual Studio Code can help you start making Infrastructure as Code in Bicep or Terraform to move you along the path of automating reliable deployments!LinksCopilot in AzureAzure CLITerraformAI ShellPowerShell 7.5BicepGitHub Copilot on VS CodeRecorded May 19, 2025

עידן גזית מוביל את מעבדת החדשנות של Github, שנרכשה על ידי מיקרוסופט בשבעה וחצי מיליארד דולרים. במסגרת תפקידו, עידן הוביל את שחרור הגרסה הראשונה של Github Copilot שהוציא לדרך את מהפכת התכנות עם אינטליגנציה מלאכותית שמשנה את עולם פיתוח התוכנה בשנים האחרונות.   נותני החסות לפרק: הפרק בחסות חברת Cato Networks הפרק עם ישי יובל מקייטו  

Microsoft is expected to report nearly $74 billion in fourth quarter revenue for fiscal year 2025, driven by increased corporate demand for artificial intelligence and growth in cloud services such as Azure OpenAI Services and GitHub Copilot. The company's capital expenditures reached over $21 billion in the third quarter, contributing to an estimated $80 billion in annual infrastructure spending and resulting in a decline in cloud gross margins from 72% to 69%. Microsoft implemented layoffs affecting over 15,000 employees to manage rising costs, citing shifting priorities and resource reallocation, while overall headcount remains stable due to ongoing hiring. Microsoft Cloud, including Azure, Microsoft 365, Dynamics 365, and LinkedIn commercial services, reported $42.4 billion in revenue last quarter, up 20% year-over-year. Analysts identify operational expense control and continued investment in AI and cloud infrastructure as key factors for sustained growth.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

This week, we cover AI going rogue, Cloudflare declaring independence, and the secure container craze. Plus, Matt bravely judges 9 new emoji. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/lRlWChvJ_m8?si=cZJ-0kzBrEH5ERZh) 530 (https://www.youtube.com/live/lRlWChvJ_m8?si=cZJ-0kzBrEH5ERZh) Runner-up Titles VP of getting it on Neutral trombone Good Margin Independent from what? The New Benevolence I have plenty of cynicism for other things Rundown Emojis Australian Bigfoot (https://en.wikipedia.org/wiki/Yowie) Unicode's new emoji refuses to put respect on Bigfoot's name (https://www.engadget.com/mobile/unicodes-new-emoji-refuses-to-put-respect-on-bigfoots-name-184412935.html) Matt's Rankings: Hairy Creature Trombone Treasure Chest Fight Cloud Orca Landslide Apple Core Ballet Dancers Distorted Face AI coding platform goes rogue during code freeze and deletes entire company database — Replit CEO apologizes after AI engine says it 'made a catastrophic error in judgment' and 'destroyed all production data' (https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-coding-platform-goes-rogue-during-code-freeze-and-deletes-entire-company-database-replit-ceo-apologizes-after-ai-engine-says-it-made-a-catastrophic-error-in-judgment-and-destroyed-all-production-data) Cloudflare Cloudflare 1.1.1.1 Incident on July 14, 2025 (https://blog.cloudflare.com/cloudflare-1-1-1-1-incident-on-july-14-2025/) Content Independence Day: no AI crawl without compensation! (https://blog.cloudflare.com/content-independence-day-no-ai-crawl-without-compensation/) Accidental Tech Podcast: 649: Prove It With Cameras (https://atp.fm/649) Anubis Web AI Firewall (https://github.com/TecharoHQ/anubis) Announcing Model Context Protocol (MCP) Server for AWS Price List (https://aws.amazon.com/about-aws/whats-new/2025/07/model-context-protocol-server-price-list/) Chainguard builds a market, everyone else wants in. (https://redmonk.com/jgovernor/2025/07/18/chainguard-builds-a-market-everyone-else-wants-in/) Bitnami Secure Images (https://github.com/bitnami/charts/issues/35164) Relevant to your Interests Browser extensions turn Trojan and infect 2.3 million Chrome and Edge users (https://cybernews.com/security/chrome-edge-hijacked-by-eighteen-malicious-extensions/) Code was the least interesting part of my multi-agent app, and here's what that means to me (https://seroter.com/2025/07/17/code-was-the-least-interesting-part-of-my-multi-agent-app-and-heres-what-that-means-to-me/) Dell employees are not OK (https://www.yahoo.com/news/dell-employees-not-ok-135038218.html) How Uber Became A Cash-Generating Machine (https://len-sherman.medium.com/how-uber-became-a-cash-generating-machine-ef78e7a97230) Clouded Judgement 7.18.25 - The Return of the Point Solution (https://cloudedjudgement.substack.com/p/clouded-judgement-71825-the-return?utm_source=post-email-title&publication_id=56878&post_id=168595292&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) Mid-Year 2025 CNCF Open Source Project Velocity (https://www.cncf.io/blog/2025/07/18/a-mid-year-2025-look-at-cncf-linux-foundation-and-the-top-30-open-source-projects/) new Date("wtf") (https://jsdate.wtf/) Intel axes Clear Linux, the fastest distribution on the market — company ends support, effective immediately (https://www.tomshardware.com/software/linux/intel-axes-clear-linux-the-fastest-distribution-on-the-market-company-ends-support-effective-immediately) The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears (https://www.wsj.com/tech/ai/meta-ai-recruiting-mark-zuckerberg-sam-altman-140d5861?st=pBmtib&reflink=article_copyURL_share) Cursor snaps up enterprise startup Koala in challenge to GitHub Copilot (https://techcrunch.com/2025/07/18/cursor-snaps-up-enterprise-startup-koala-in-challenge-to-github-copilot/) Lovable becomes a unicorn with $200M Series A just 8 months after launch (https://techcrunch.com/2025/07/17/lovable-becomes-a-unicorn-with-200m-series-a-just-8-months-after-launch/) Apple details how it trained its new AI models, see highlights (https://9to5mac.com/2025/07/21/apple-details-how-it-trained-its-new-ai-models-4-interesting-highlights/) Instacart's former CEO is taking the reins of a big chunk of OpenAI (https://www.theverge.com/openai/710836/instacarts-former-ceo-is-taking-the-reins-of-a-big-chunk-of-openai) The Enshittification of American Power (https://www.wired.com/story/enshittification-of-american-power/) Customer guidance for SharePoint vulnerability CVE-2025-53770 (https://msrc.microsoft.com/blog/2025/07/customer-guidance-for-sharepoint-vulnerability-cve-2025-53770/) Mike Lynch's Estate Ordered to Pay Hewlett Packard $945 Million (https://www.nytimes.com/2025/07/22/business/dealbook/mike-lynch-hp.html) OpenAI announces ChatGPT agent for web browsing (https://mashable.com/article/openai-announces-chatgpt-agent-web-browsing) OpenAI's new ChatGPT Agent can control an entire computer and do tasks for you (https://www.theverge.com/ai-artificial-intelligence/709158/openai-new-release-chatgpt-agent-operator-deep-research) ChatGPT Numbers (https://www.threads.com/@axios/post/DMXssSjuHax?xmt=AQF0UNyFv8CGZkBsSBbi7XWeXnW67U-Y-ZWQEwDod8lyhA) Move Mesos to the Attic (https://lists.apache.org/list.html?dev@mesos.apache.org) Anthropic hired back two of its employees — just two weeks after they left for a competitor. (https://www.theverge.com/ai-artificial-intelligence/708521/anthropic-hired-back-two-of-its-employees-just-two-weeks-after-they-left-for-a-competitor) Investors Float Deal Valuing Anthropic at More Than $100 Billion (https://www.theinformation.com/articles/investors-float-deal-valuing-anthropic-100-billion) Nonsense Coldplay's Kiss Cam Exposes Astronomer's CEO Andy Byron Alleged Affair With HR Chief Kristin Cabot (https://www.yahoo.com/entertainment/articles/coldplay-kiss-cam-exposes-astronomer-142620411.html) Unicode's new emoji refuses to put respect on Bigfoot's name (https://www.engadget.com/mobile/unicodes-new-emoji-refuses-to-put-respect-on-bigfoots-name-184412935.html) Atari Is Re-Releasing Its 2600+ To Celebrate Pac-Man's 45th Birthday (https://www.timeextension.com/news/2025/07/atari-is-re-releasing-its-2600plus-to-celebrate-pac-mans-45th-birthday) Conferences Sydney Wizdom Meet-Up (https://www.wiz.io/events/sydney-wizdom-meet-up-aug-2025), Sydney, August 7. Matt will be there. SpringOne (https://www.vmware.com/explore/us/springone?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/watch?v=f_xOudsmUmk). Explore 2025 US (https://www.vmware.com/explore/us?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/shorts/-COoeIJcFN4). Wiz Capture the Flag (https://www.wiz.io/events/capture-the-flag-brisbane-august-2025), Brisbane, August 26. Matt will be there. SREDay London (https://sreday.com/2025-london-q3/), Coté speaking, September 18th and 19th. Civo Navigate London (https://www.civo.com/navigate/london/2025), Coté speaking, September 30th. Texas Linux Fest (https://2025.texaslinuxfest.org), Austin, October 3rd to 4th. CFP closes August 3rd (https://www.papercall.io/txlf2025). CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th to 16th, London. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Magic Keyboard with Touch ID and Numeric Keypad for Mac (https://www.apple.com/shop/product/MXK83LL/A/magic-keyboard-with-touch-id-and-numeric-keypad-for-mac-models-with-apple-silicon-usb-c-us-english-black-keys?fnode=9586aab2077eb774c28648c4795309d1121a0be316d0cef51e8ecb4f03f94a17a88ca466c99d3d3ce977c5a3933a01e4a9d465d8c36e6a9db43dcd2fdd97c814f69fee0a947209242f7e16f10d07223c5fa2dd831c66ffc4bca1a0c99c10f58ec0b7562aa4f1a834e276771b7ef3bfa8&fs=f%3Dkeyboard%26fh%3D36f4%252B4603) Matt: Spirited (https://www.imdb.com/title/tt1524415/) Photo Credits Header (https://unsplash.com/photos/a-statue-of-a-gorilla-sitting-on-top-of-a-wooden-bench-p9uwu_LDmoc)

Cursor-maker Anysphere is snapping up top talent from AI enterprise startups in an effort to compete with Microsoft's GitHub Copilot. Learn more about your ad choices. Visit podcastchoices.com/adchoices

An international speaker, Microsoft MVP, ASPInsider, MCSD, PSM II, PSD, and PST, and a passionate member of the developer community, Phil has been working with .NET since the first betas, developing software for over 40 years, and has been heavily involved in the Agile community since 2005 as well as a Professional Scrum Trainer. Phil has taken over the best-selling Pro C# books (Apress Publishing), including Pro C# 10, is the President of the Cincinnati .NET Users Group (Cinnug.org), and the Cincinnati Software Architect Group, founded and runs the CincyDeliver conference (Cincydeliver.org), and volunteers for the National Ski Patrol. During the day, Phil works as the CTO & Chief Architect for Pintas & Mullins. Phil always enjoys learning new tech and is always striving to improve his craft.   Topics of Discussion: [2:53] Why Phil still loves writing software after 40-plus years.  [5:39] The difference between being a consultant and supporting code long-term. [8:27] Agile roles and user experience. [8:40] Embedding engineers in the business to avoid “telephone game” decisions. [11:30] “Move fast” vs. move efficiently — real-world cautionary tales. [13:40] Using Figma for business rule diagramming before writing a single line of code. [14:52] Releasing 4 x per week and getting rapid feedback. [16:49] NASCAR, motocross, and the connection of slow builds of how software teams avoid friction. [18:41] Measuring team efficiency, and how Phil eliminated emergency production fixes by mandating quality. [22:00] Feature flags, PBI coverage, and the team's shared ownership of the code. [26:09] AI in legal tech: where it works, where it doesn't. [34:56] The architectural shift created by LLMs, vector databases, and agents. [39:42] AI is not the goal — it's just a tool for solving the right problems. [44:03] How Phil uses GitHub Copilot's agent mode to streamline development. [46:03] Final thoughts: “It's not about the tech. It's about making someone's life better.”   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. “Clear Measure, Inc.” (Sponsor) “Philip Japikse: Professional C# in .NET - Episode 230” “Philip Japikse: Migrating from .NET Framework to .NET 8 - Episode 296”   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   In this episode, GitHub CEO Thomas Dohmke joins us for a deep dive into the evolution of software development — from decentralized version control to the rise of AI coding agents. With over 150 million developers on GitHub and tools like Copilot rewriting the rules of software engineering, we explore what it really means to build in an AI-native future.   Thomas shares the origin story of Copilot, how GitHub is shifting from human-to-human to human-to-agent collaboration, and why he believes natural language is becoming the universal programming language. We also cover the technical architecture behind Coding Agents, the feedback loop between developers and AI, and what it takes to scale multi-agent systems in the real world.   Like and subscribe for more!     Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI     (00:00) The Future of AI-Powered Coding (02:04) Thomas Dohmke's Journey (05:16) GitHub's Origin Story & Evolution (08:45) Life Before GitHub: Early Version Control Systems (10:40) What is Git? And Why GitHub Matters (12:36) The Birth of GitHub Copilot (16:17) The Rise of AI Agents (17:52) How Kids Are Learning to Code with Copilot (22:38) Can Non-Coders Use Copilot Agents Effectively? (26:01) What the Coding Agent Actually Does Behind the Scenes (31:30) The Models Behind GitHub Copilot & Developer Choice (35:22) How Much Code Is Now Written by AI? (38:51) GitHub's Innovation Strategy (41:54) What's Next for GitHub (45:24) From 150M to 1B Developers: Empowering the World to Build (47:51) GitHub Universe & Galaxy Events (49:53) GitHub's Innovation Graph and the Power of Open Collaboration

Today's guest is Mark Miller, a multi-time C# MVP whose work blends software architecture with cognitive science. As the Chief Architect of the IDE Tools division at Developer Express, Mark is the visionary behind CodeRush — a toolset designed to maximize developer productivity through intelligent design. With nearly four decades of experience creating software tools, Mark's expertise spans decoupled design, plug-in architectures, and the nuanced craft of great user interfaces. He's a top-ranked international speaker, known for unpacking complex ideas with clarity, and he shares his thought process in real time on Twitch.tv/CodeRushed.   Topics of Discussion: [3:20] Why Mark still loves building developer tools. [6:31] Mark talks about GitHub Copilot agent technology and other AI coding tools. [8:00] The unique edge of CodeRush AI and its distinct advantages in user interface design. [8:39] The future of AI in code generation, predicting increased speed and accuracy in large language models. [9:02] The importance of managing multiple virtual developers in the future, compared to managing traditional software developers. [15:21] Demonstration of CodeRush AI features. [23:51] Mark creates a new class with properties and initializes it with realistic data. [24:40] Mark highlights AI's ability to modify and integrate code changes automatically, reducing the need for manual copying and pasting. [36:32] AI Find. [37:09] Advantages of CodeRush AI over competitors.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Clear Measure, Inc. (Sponsor) “Mark Miller: The Science of Great UI in Software - Episode 212” CodeRushed - Twitch Mark Miller on LinkedIn   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Send us a textIn this high-gear episode from Pax8 Beyond 2025, Joey Pinz speaks with Colin Britton, COO of Devicie, about everything from Formula One engineering to Microsoft Intune optimization for MSPs. Colin brings decades of experience scaling tech firms across the globe, and he breaks down how Devicie is helping MSPs finally extract full value from Microsoft 365 — especially Intune.Colin explains why MSPs face friction using Microsoft-native tools at scale and how Devicie's automation layer bridges the operational gaps Microsoft leaves open. If you're an MSP tired of jumping between tenants, manually configuring endpoints, or underutilizing Business Premium, this episode hits home.They also explore how AI is rapidly reshaping SMB agility, why consumption-based pricing could shake up business models, and how personal data (from Whoop bands to GitHub Copilot) is becoming a decision-making edge. 

Kyle Daigle is the Chief Operating Officer at GitHub, the world's largest host of source code with more than 100 million developers and 420 million repositories. He joined GitHub in 2013 and later served as VP of Strategy and Chief of Staff to the CEO, playing a key role in the company's 2018 acquisition by Microsoft. Kyle is also the public face of GitHub Copilot, the AI coding assistant launched in 2021 that now helps over 15 million users. Earlier in his career, he was a partner at Digitalworkbox and VP of Product Development at Geezeo.In this conversation, we discuss:Kyle's journey from studying fine arts to leading operations at the world's largest code platformWhy GitHub Copilot is about freeing developers to focus on creativity and solving meaningful problemsWhat it means to bring pragmatism into AI development and why usefulness always wins over hypeHow AI is lowering the barriers to software creation while keeping humans at the center of accountabilityThe responsibility of platforms like GitHub to protect users from flawed code and teach safe coding by designKyle's vision for “ambient AI” and why the future should feel personal, context-aware, and privacy-consciousResources:Subscribe to the AI & The Future of Work NewsletterConnect with Kyle on LinkedInAI fun fact articleOn How to Discuss Regulation for LLMs and Legal Advice for EntrepreneursPast episodes mentioned in this conversation: [With Patty Hatter, tech exec/board member/advisor] - On the best advice for women in technology 

This week, Dave is joined by ⁠Ziv Karliner⁠, ⁠Pillar Security⁠'s Co-Founder and CTO, sharing details on their work on "New Vulnerability in GitHub Copilot and Cursor: How Hackers Can Weaponize Code Agents." Vibe Coding - where developers use AI assistants like GitHub Copilot and Cursor to generate code almost instantly - has become central to how enterprises build software today. But while it's turbo-charging development, it's also introducing new and largely unseen cyber threats. The team at Pillar Security identified a novel attack vector, the ⁠"Rules File Backdoor"⁠, which allows attackers to manipulate these platforms into generating malicious code. It represents a new class of supply chain attacks that weaponizes AI itself, where the malicious code suggestions blend seamlessly with legitimate ones, bypassing human review and security tools.  The research can be found here: ⁠New Vulnerability in GitHub Copilot and Cursor: How Hackers Can Weaponize Code Agents Learn more about your ad choices. Visit megaphone.fm/adchoices