Podcasts about senior software engineer

BONUS EPISODE: The best from our Series 4 guests with Philippa Lamb and Lucy Greenwell   Enjoying the podcast? Tell us what you think below and give us a review or rating. As always we'd love to hear your suggestions and feedback. Send us an email: podcast@pensionbee.com.   On this special bonus episode, we're turning the mic around. We hear from our Host, Philippa Lamb, and Producer, Lucy Greenwell, as they discuss their favourite moments from Series 4 of The Pension Confident Podcast. We've had some brilliant guests - from divorce lawyers to behavioural experts, authors to financial influencers, along with some of our favourite people from PensionBee HQ. On this episode, we'll hear from: Author and Founder of Mrs Mummypenny, Lynn Beattie; Co-Founder at The Divorce Surgery, Harry Gates; Founder and Editor of Money to the Masses, Damien Fahy; Founder of Talented Ladies Club, Hannah Martin; Co-Founder of Startup School for Seniors, Suzanne Noble; Senior Software Engineer at PensionBee, Anindya Bhattacharyya; and Behavioural Expert and Co-Founder of Shaping Wealth, Neil Bage.   Episode breakdown 02:20 Biggest "I never knew" moment 04:07 Most shocking number 06:01 Surprising money tip 08:34 Funniest episode 10:22 Best episode for beginners 14:12 See you next year, for Series 5   Further reading, listening and watching To learn more about the topics discussed in this bonus episode, check out these articles, podcasts and videos from PensionBee: E35: The cost of divorce (Podcast) E37: The easiest way to retire with more money (Podcast) E38: How to shift careers (Podcast) E43: Who wants to be a pension millionaire? (Podcast) Creating a portfolio income in your retirement years (Blog) Don't divorce your right to a decent pension (Blog) How much should you save for retirement? (Video) Pension Calculator (Calculator) What happens to my pension during a divorce? (Video) What is compound interest? (Blog)   Other useful resources 'Feel the Fear and Do It Anyway' by Susan Jeffers' (Book) Government's free Pension Tracing Service (GOV.UK) Pension disengagement could cost you up to £500,000 in retirement (PensionBee) The Carer's Pension Gap Report (PensionBee) The UK Pension Landscape (PensionBee) Your Future Self: How to Make Tomorrow Better Today by Hal Hershfield (Book)   Catch up on the latest news, read our transcripts or watch on YouTube: The Pension Confident Podcast The Pension Confident Podcast on YouTube Follow PensionBee (@PensionBee) on TikTok, YouTube, Instagram, LinkedIn, Facebook, X and Threads.

Neste episódio, conversamos com Demetrius Costa, Senior Software Engineer na Red Hat. Com uma carreira sólida construída sobre tecnologias fundamentais como Java, Node.js, Go lang e automação. Demetrius compartilha sua experiência trabalhando em projetos de infraestrutura crítica como o OpenShift e Ansible.Links:Site do OsProgramadores: https://osprogramadores.comGrupo no Telegram: https://t.me/osprogramadoresLinkedIn do Demetrius: https://www.linkedin.com/in/demetrius-costa/

In this special December episode of Mainframe Voices, leaders and contributors from across the Open Mainframe Project community share what they are most thankful for this year. From new career opportunities and open source collaboration to supportive teams and personal milestones, our guests reflect on the moments that made 2025 memorable in the mainframe world.Featuring: •Steven Dickens – CEO and Principal Analyst, Top 3 Global Technology Industry Analyst, Advisor to Tech Vendor Executives •Billie Jean Simmons – Software Developer for zDevOps, IBM Wazi, and Cloud IDE; Zowe Explorer Squad Lead •Len Santalucia – CTO Mainframe, AI, Cloud, Analytics, Mobile, Security; IBM Champion and Chairperson of the Linux Foundation Open Mainframe Project •Elliot Jalley – Senior Principal Product Manager, Open Mainframe Project Ambassador •Germanas Šamrickis – Senior Software Engineer at Rocket SoftwareThe Mainframe Connect podcast includes the I Am a Mainframer series, Mainframe Voices, and other conversations with mainframe professionals, sponsored by the Open Mainframe Project, a Linux Foundation initiative.#MainframeVoices #MainframeConnect #OpenMainframeProject #LinuxFoundation #Mainframe #Gratitude #Community

The Death of "Vibe Revenue": Agentic P&L, The 2026 Audit & New AI Metrics (CPSO vs. RPA).The era of "Vibe Revenue"—valuations built on flashy demos and FOMO—is officially over. In this special strategic briefing, we unpack "The Great Sobering" of 2026. As CFOs stop funding open-ended experiments, we introduce the rigorous financial framework that will define the next year: Agentic P&L.We break down the "Great Chasm" between technical capability and actual EBIT, and we teach you the three defensive metrics you need to survive the coming audit: Cost Per Successful Outcome (CPSO), Revenue Per Agent (RPA), and the Agentic Workflow Displacement Rate (AWDR). It's time to stop paying for output tokens and start paying for business outcomes.Key Topics & Timestamps:The Executive Summary: Why 2025 was the party and 2026 is the audit.The Concept: Defining "Agentic P&L"—treating AI not as software, but as labor with a quota.Metric 1: CPSO: Why "time saved" is a vanity metric and how to calculate Cost Per Successful Outcome.Metric 2: RPA: Revenue Per Agent—measuring the top-line contribution of your digital employees.Metric 3: AWDR: The Agentic Workflow Displacement Rate and the "Great Chasm" of adoption.The Strategy: Moving from token-based pricing to outcome-based contracts.Keywords: Agentic P&L, Vibe Revenue, Cost Per Successful Outcome, CPSO, Revenue Per Agent, RPA, AI ROI, AI Audit 2026, AI Unit Economics, Agentic Workflow Displacement Rate, AWDR, Etienne Noumen, AI UnraveledSource: https://djamgatech.com/wp-content/uploads/2025/12/AIs-Shift_-From-Vibe-to-PL.pdfCredits: This podcast is created and produced by Etienne Noumen, Senior Software Engineer and passionate Soccer dad from Canada.Host Connection & Engagement:Connect with Etienne: https://www.linkedin.com/in/enoumen/Advertise on AI Unraveled and reach C-Suite Executives directly: Secure Your Mid-Roll Spot here: https://forms.gle/Yqk7nBtAQYKtryvM6

Ken Miyachi is the Co-founder of BitMind, a company at the forefront of developing pioneering deepfake detection technology and decentralized AI applications. Prior to founding BitMind, Ken served as a Senior Software Engineer at leading organisations such as NEAR Foundation, Amazon, and Polymer Labs, where he honed his expertise in scalable technology solutions. In this conversation, we discuss:- Bittensor - The escalation of AI-driven crypto scams - Deepfakes - Why crypto is the perfect target for AI fraud - The urgent need for real-time verification systems - Solving the trust problem in a trustless industry - What regulators are signalling - Education and user awareness - The future: AI vs AI BitMindX: @bitmindWebsite: www.bitmind.aiInstagram: instagram.com/bitmindlabsKen Jon MiyachiX: @kenjonmiyachiLinkedIn: Ken Jon Miyachi---------------------------------------------------------------------------------This episode is brought to you by PrimeXBT.PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.  PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50FollowApple PodcastsSpotifyAmazon MusicRSS FeedSee All

Welcome to AI Unraveled (December 17, 2025): Your daily strategic briefing on the business impact of artificial intelligence.Today on the AI Daily News Rundown, the capital wars heat up as Amazon is reportedly in talks to invest a staggering $10 billion in OpenAI, potentially challenging Microsoft's dominance. We also cover Google's rapid-fire releases: the new Gemini 3 Flash model and an experimental email agent called "CC" that manages your life.Plus, we dive into a critical new study from Google and MIT revealing the hidden pitfalls of multi-agent systems, Databricks raising $4B to power those very agents, and OpenAI's new ChatGPT Images upgrade designed to counter "Nano Banana Pro."Listen at https://podcasts.apple.com/us/podcast/ai-daily-news-rundown-and-its-impact-on-you-amazon/id1684415169?i=1000741764952Key Topics:

Episode Summary: The era of "Vibe Revenue"—valuations built on demos and FOMO—is officially over. In this special episode, we dissect a critical new report on Proving AI ROI Beyond Benchmarks. With OpenAI's GPT-5.2 Pro pricing reaching a staggering $168.00 per million output tokens, the days of treating intelligence as a cheap commodity are gone.We break down the "Great Chasm" facing the C-Suite: the gap between technical capability and actual profit. We also introduce the three defensive metrics you must track in 2026 to survive: Cost Per Successful Outcome (CPSO), Revenue Per Agent (RPA), and Agentic Workflow Displacement Rate (AWDR). Plus, we explain how Composite AI and Intelligent Model Routing can reduce your blended costs by up to 99%.Key Topics:The "Vibe Revenue" Bubble: Why 2025's "Gold Rush" mentality is crashing into economic reality.The GPT-5.2 Shock: Analysis of the "Pro" model pricing ($21 input / $168 output) and why it kills "vibe" adoption.Metric 1: CPSO (Cost Per Successful Outcome): Moving from "cost per token" to "cost per result".Metric 2: RPA (Revenue Per Agent): Treating AI agents as employees with quotas to measure top-line growth.Metric 3: AWDR (Agentic Workflow Displacement Rate): Measuring the % of tasks fully offloaded to AI, not just "assisted".The Solution: How Composite AI and Intelligent Model Routing allow you to use Llama-3 for easy tasks and GPT-5.2 only when necessary.The Audit: How to map your "Perceive-Act-Reason" loops to find high-ROI workflows.Links & Resources:Read the Paper: https://djamgatech.com/wp-content/uploads/2025/12/Proving-AI-ROI-Beyond-Benchmarks.pdfKeywords: xVibe Revenue, AI ROI, Cost Per Successful Outcome (CPSO), Revenue Per Agent (RPA), Agentic Workflow Displacement Rate (AWDR), GPT-5.2, Intelligent Model Routing, Composite AI, AI Economics, Etienne Noumen, AI Unraveled

Welcome back to AI Unraveled, your strategic briefing on the business impact of artificial intelligence.Today, we are doing something different. We are skipping the daily news cycle to focus on a single, massive piece of research that just dropped from a powerhouse team at Stanford, Princeton, Harvard, and the University of Washington that proposes the first proper taxonomy for Agentic AI Adaptation.If you are building or scaling agent-based systems, this is your new mental model. The researchers argue that almost all advanced agentic systems—despite their complexity—boil down to just four basic feedback loops. We explore the "4-Bucket" framework (A1, A2, T1, T2) and explain the critical trade-offs between changing the agent versus changing the tools.Key Topics:Intro: Why "learning from feedback" is the definition of adaptation.The Definition: What actually counts as "Agentic AI"?Bucket A1 (Agent + Tool Outcome): Updating the agent based on whether code ran or queries succeeded.Bucket A2 (Agent + Output Eval): Updating the agent based on human feedback or automated scoring.Bucket T1 (Frozen Agent + Trained Tools): Keeping the LLM fixed while optimizing retrievers and external models.Bucket T2 (Frozen Agent + Agent-Supervised Tools): Using the agent's own signals to tune its toolkit.Trade-offs: Cost vs. Flexibility in modern system design.Links & Resources:Read the Paper: Adaptation Strategies for Agentic AI Systems (GitHub): https://github.com/pat-jj/Awesome-Adaptation-of-Agentic-AI/blob/main/paper.pdfKeywords: Agentic AI, AI Taxonomy, AI Research, Stanford AI, Princeton AI, Large Language Models, LLM Agents, Reinforcement Learning, Tool Use, RAG, A1 A2 T1 T2, AI Adaptation, Etienne Noumen, AI Unraveled.

Welcome to AI Unraveled (December 12, 2025): Your daily strategic briefing on the business impact of AI.Today on AI Unraveled, we break down the escalation in the model wars as OpenAI rushes GPT-5.2 to market to counter Google's Gemini 3. We also analyze the massive copyright lawsuit Disney just handed to Google, Rivian's strategic pivot to proprietary AI chips, and the new space race between Bezos and Musk to build orbital data centers. Plus, why the Financial Times believes the "Hyperscale" bubble might burst in favor of specialized industrial AI.Strategic Pillars & Topics

Welcome to AI Unraveled (From December 08 to December 14th, 2025): Your daily strategic briefing on the business impact of AI.This week on AI Unraveled, we recap a massive week in artificial intelligence. The landscape shifted dramatically as Disney chose sides—inking a $1B deal with OpenAI while slapping Google with a cease-and-desist. We break down the release of GPT-5.2, Meta's strategic pivot away from open source, and the new "space race" to build orbital data centers. Plus, the US government approves Nvidia sales to China (with a catch), and Runway unveils its General World Model.Key Topics :

Joining the TJL crew this week is Long Nguyen, Senior Software Engineer for Atlassian. Long has worked on Rovo starting with Rovo Chat to his present responsibilities to improving Rovo Agents. Tune in to hear background stories of the initial development as well as the tips and tricks Alex (and you) need to improve your prompts to Rovo Agents.Thank you to Revyz for backing us up and making The Jira Life possible. https://www.revyz.io/The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn!  / the-jira-life  Become a member on YouTube to get access to perks:https://www.youtube.com/@thejiralife/...Hosts:Alex "Dr. Jira" Ortiz ⁠  / alexortiz89  ⁠⁠   / @apetechtechtutorials  ⁠ Rodney "The Jira Guy" Nissen ⁠  / rgnissen  ⁠⁠https://thejiraguy.comSarah Wright  / satwright    Producer:"King Bob" Robert Wen   / robert-wen-csm-spc6-a552051  Executive Producer: Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codes   / monstercat  Outro: Fractal - Atrium   / monstercatinstinct  

Давно не было разносов резюме на канале. В этот раз Марша Подоляк и Евгений Волчков устроят настоящую прожарку ваших резюме в прямом эфире. Не важно, кто вы по специальности, программист, аналитик, QA, дизайнер, маркетолог, присылайте ваши резюме под этим постом https://t.me/prodcastUSA/1690. Лучшие будут отобраны для ревью.Маша (Мария) Подоляк (Marsha Podolyak) – Technical Product Marketing Manager Автор Телеграм канала «Поиск работы в США» про поиск работы в технологических компаниях СШАhttps://t.me/jobsearch_usahttps://www.linkedin.com/in/marysamhttps://instagram.com/marsha_bodolykaЕвгений Волчков, Engineering Manager в iManage (ex-Bank of America и Verizon). LinkedIn: https://www.linkedin.com/in/valchkou/Предыдущие разносыРазнос резюме с нанимающим менеджером. Основные ошибки, почему вас отклоняют рекрутеры в США. https://youtube.com/live/NEWvqSSSW5kРазбор резюме для международных и американских компаний с Евгением Волчковым (Engineering Manager) https://youtube.com/live/h7Tls8qY1bwРазнос резюме IT специалистов с Валерием Широковым (Principal Cloud Architect and Director) https://youtube.com/live/BvvfH2q_3NsРазнос резюме в прямом эфире с Евгением Волчковым. Основные ошибки, почему вам постоянно приходят отказы. https://youtube.com/live/UqUfxUIUh-MРазбор резюме с нанимающим менеджером и рекрутером в США. Почему вам откажут или вообще не ответят? https://youtube.com/live/2_WDH7YmiRgРезюме менеджера в США: разбираем на реальных примерах и исправляем ошибки https://www.youtube.com/watch?v=iM5wDIt5aM8Разбор ошибок в резюме менеджера на реальном примере вместе https://youtu.be/zKRyMRUWxOMЗаписаться на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США):https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень):https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abТелеграм: https://t.me/prodcastUSA Инстаграм: https://www.instagram.com/prodcast.us ТикТок: https://www.tiktok.com/@us.job⏰ Timecodes ⏰00:00 Начало5:05 Первое резюме: Software Developer Engineer17:00 Второе резюме: Frontend Developer Intern27:00 Третье резюме: Data Analyst35:45 Четвертое резюме: Senior Product Designer46:35 Пятое резюме: Creative Director54:05 Шестое резюме: Performance Marketing Manager1:08:32 Седьмое резюме: Senior Software Engineer

From GaTech Students to Young Leaders in Tech: A Combined Interview with former colleagues: Omar Sharifali (Senior Software Engineer, Meta) and Malcolm Danmola (Senior Product Manager, Amazon)---In this re-aired interview we discuss with two colleagues, Omar and Malcom their career trajectory and story to developing from a student to a young leader in Tech. This interview is definitely worth listening to and learning from.---Please note the views of this podcast represent those of my guest and I, and do not constitute medical or professional advice. We disclaim any loss in any way.

Stop the Hype, Start the ProfitThe era of experimental AI pilot projects is over. For C-Suite leaders in the Energy Industry and complex infrastructure, the mandate is clear: deliver quantifiable ROI from AI.This special AI Unraveled episode is a direct sample of our AI-Powered Executive Briefings. We provide a crucial five-minute insight into The Commercial Impact of Large Language Models (LLMs) on Energy Infrastructure, demonstrating the critical shift from technology research to strategic, P&L-linked deployment.Our briefing cuts through vendor hype, focusing on hard engineering outcomes. We treat Gen AI as a critical engineering tool to solve enterprise problems like asset reliability, grid optimization, and OPEX reduction. If you're struggling to bridge the gap between AI lab work and boardroom strategy, this briefing is your first step toward a robust AI roadmap.Key Strategic & Technical TakeawaysGen AI as an Efficiency Tool: Understand why the main application in energy is not chatbots, but unlocking latent capacity and safely eroding conservative safety margins in physical infrastructure.The MLOps Challenge: The true hurdle is not model creation, but MLOps (Machine Learning Operations)—the ability to securely deploy, govern, and continuously monitor complex models at enterprise scale in regulated environments.Quantifiable Return: Hear data on how industrial AI users achieve significant results, including energy savings averaging 23% and CO2 reductions of 24% through optimized upstream operations. Use this data to justify capital expenditure.C-Suite Alignment: Learn how one concise brief ensures your entire leadership team has a shared, defensible vision for AI transformation.Your Strategist: Bridging Engineering and the BoardroomThis strategic insight is delivered by Etienne Noumen, Senior Software Engineer and the host of AI Unraveled.Etienne provides the builder's perspective—someone who designs, deploys, and governs production-ready AI/LLM systems. He specializes in bridging deep-tech engineering with clear boardroom strategy, ensuring your roadmap is feasible, scalable, secure, and ambitious.Why Djamgatech Briefings? We replace ambiguous consulting reports with actionable, 5-minute audio intelligence briefings and a clear governance framework, moving you from planning to decisive execution.Action Steps: Request Your Private ConsultationReady to stop wasting budget on hype and adopt an AI strategy directly tied to the P&L?We offer limited slots for a private, no-obligation consultation to design your customized, defensible AI roadmap.➡️ Request Your Private Consultation Here: https://forms.gle/YHQPzQcZecFbmNds5Connect & Learn MoreLearn more about our Executive Briefings: https://djamgatech.com/djamgatech-executive-briefings-ai-powered-strategic-insightConnect with Etienne Noumen on LinkedIn: https://linkedin.com/in/enoumenKeywords: AI Strategy, Generative AI for Energy, CTO Roadmap, Executive Briefing, MLOps, Strategic Alignment, Asset Reliability, ROI, OPEX Reduction, Digital Transformation, AI Governance, Etienne Noumen

В этом выпуске: очередная порция потрясающих тем. [00:01:14] Filter Stacks compared: Sony E | Nikon Z | Leica M | Kolari UT [00:06:07] Полнотекстовый поиск или рубрики/метки Telegram: View @devzen_live Full Text Searches: lj_dev — LiveJournal [00:31:43] VDS Selectel. Облачные серверы для разработчиков. [00:41:19] Куда расти после Senior Software Engineer [00:59:52] Newsboat, an RSS reader… Читать далее →

No episódio 126, conversei com Willian Frantz, game developer, systems programmer e especialista em Elixir.Willian cria backends que escalam, engines de alta performance e explora engenharia reversa por curiosidade e paixão pela tecnologia.Também falamos sobre seu trabalho em segurança voltada para games, incluindo a construção de partes do pipeline anti-cheat do Riot Vanguard, com foco em proteção de integridade, detecção avançada e combate a ataques em larga escala.

Hoje o papo é dev raiz! Neste episódio, mergulhamos em Clojure e Datomic dentro do Nubank. Do armazenamento de dados à linguagem de programação, do valor de ter a stack à aquisição da Cognitect, o papo envolveu todos os aspectos da eterna busca pela redução da complexidade em troca de ter mais tempo de pensar na solução de problemas. E antes de ver quem participou do papo, fica o convite: Garanta o seu lugar na Clojure South 2025, a maior conferência de Clojure na América do Sul. O evento acontece nos dias 6 e 7 de outubro, na Av. Manuel Bandeira, 346, Vila Leopoldina, São Paulo/SP. Você não vai querer perder! E agora sim, vem ver quem participou desse papo: André David, o host que começa dando um recado Paulo Silveira, CVO do grupo Alun e co-fundador da Alura Mário Souto, o Dev Soutinho, Staff Software Engineer no Nubank Pamella Araujo, Senior Software Engineer no Nubank Thiago Carvalho, Senior Engineer Manager no Nubank

In this episode of JavaScript Jabber, I sit down with Ryan Carniato, creator of SolidJS, and Tanner Linsley, the force behind TanStack, for a deep-dive conversation on the resurgence of Remote Procedure Calls (RPC) in modern web development. We explore why RPC is making a comeback, how frameworks like Solid, TanStack, and others are shaping the way we think about data fetching, and the technical innovations that are driving this movement forward.From streaming and serialization to type safety and the future of client-server communication, Ryan and Tanner share their experiences, insights, and the unique challenges they've faced building cutting-edge tools for developers. If you've been curious about where RPC fits in today's frameworks—or just love geeking out about performance, signals, and developer experience—this is one episode you won't want to miss.Links & ResourcesRyan Carniato on SolidJSTanStack (React Query, Router, Table, and more)Sentry – where Ryan is currently workingCreate TanStackSolidJS DiscordRyan CarniatoRyan Carniato is the creator of SolidJS, a high-performance JavaScript framework built on fine-grained reactivity. He's also a Senior Software Engineer at Sentry, where he explores new approaches to front-end architecture and developer experience. Through his open-source contributions, talks, and in-depth content, Ryan has become a trusted voice in the web development community, helping developers think differently about building fast, reactive applications.Tanner LinsleyTanner Linsley is the founder of TanStack, the home of widely adopted open-source libraries like TanStack Query (formerly React Query), TanStack Router, Table, Virtual, and more. A full-time open-source entrepreneur, Tanner has redefined how developers manage state, caching, and data fetching in modern applications. With a focus on performance, simplicity, and type safety, his tools power some of the most advanced applications on the web today.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

No episódio 117 do podcast OsProgramadores, conversei com André Carvalho, Senior Software Engineer na Apple.André compartilhou sua trajetória, desde os primeiros passos no Brasil até chegar ao Vale do Silício para trabalhar em uma das maiores empresas de tecnologia do mundo. Foi uma conversa rica em aprendizados para quem sonha em trabalhar no exterior.

Wojciech Trawiński, Senior Software Engineer w XTB opowiada, o tym jak przejść drogę od młodego entuzjasty do doświadczonego profesjonalisty.Czego się dowiesz:Dlaczego mit "ciężka praca = sukces" nie działa w IT?Jak oddzielić ego od pracy i kiedy walczyć, a kiedy odpuścićCo to znaczy rozwiązywać prawdziwe problemy biznesowe zamiast tylko "pięknie pisać kod"?Jak negocjować i budować pozycję w organizacji>Kiedy inwestować w rozwój, a kiedy skupić się na pieniądzach?Jak rozpoznać moment, gdy warto zmienić pracę?Podcast skierowany do programistów na każdym etapie kariery - od juniorów szukających kierunku po seniorów zastanawiających się nad następnymi krokami.Poznaj doświadczenia i przemyślenia doświadczonego programisty, który dobrze rozumie prawdziwe mechanizmach rządzące branżą IT.Profil Wojtka na LinkedIn: https://www.linkedin.com/in/wojciech-trawi%C5%84ski/Dołącz do 2 edycji 10xDevs, startujemy 29.09: https://10xdevs.pl

Listen now: Spotify, Apple and YouTubeIf you've wondered how much AI is really helping engineers - or feared it might replace them - this episode is for you.In this conversation, Marc and Ben sit down with Nick Meehan, a senior engineer and longtime collaborator, to explore how AI coding tools like Cursor, Claude, and Codex are reshaping day-to-day engineering work. Nick shares how his process evolved from copy-pasting into ChatGPT to using AI as a debugging partner, thought collaborator, and junior developer moving at superhuman speed.They cover the productivity gains, the pitfalls of vibe coding entire products, the new skills engineers need (critical thinking, architecture, team coordination), and what might never be replaced by AI. Nick also reflects on job security, how satisfaction in engineering is shifting, and where he sees the field heading over the next five years.Whether you're an engineer experimenting with coding agents, a product leader trying to understand their impact, or simply curious about how AI is changing the craft of engineering, you'll walk away with an insider's perspective on what's actually happening on the ground.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Featuring: Martha Zink, Director of Experience at Proof+Geist Eric Luce, Senior Software Engineer at Proof+GeistDescription: In this episode of The Context Podcast, join Martha Zink and Eric Luce as they discuss the suite of JavaScript tools in ProofKit. In the modern era, having an easily accessible app for your clients is crucial. With ProofKit, FileMaker developers without much experience in JavaScript can create clean and functional web apps connected to FileMaker data, or interactive web viewers for your customers. Check out our growing list of content below to get started with ProofKit, and keep an eye out for the newest update on the horizon. You can also find this episode on Youtube.Featured Links: https://proofkit.dev/ Claris Engage 2025 Session: How to build next-level web apps with Claris FileMakerBuild web apps with Claris FileMaker: ProofKit Claris Community LiveProof+Geist Talks with Richard Carlton

Learn how to design and maintain resilient, high-availability systems that scale. This session dives into real-world outage scenarios and the engineering strategies that enabled rapid recovery. Discover proven techniques like graceful degradation, fallback logic, and fault isolation, plus practical guidance on scaling cloud-native services. We'll explore how to balance cost vs. availability, apply reliability patterns, and build systems that withstand failures helping your organization deliver reliable, scalable services even under stress. Ravi Teja Thutari, Senior SOftware Engineer, Hopper Tatyana Sanchez, Content & Program Coordinator, RSAC Kacy Zurkus, Director, Content, RSAC

News includes the BEAM runtime fitting into just 16MB for the GRiSP Nano prototype, the BBC using Elixir to serve most of their web and mobile traffic, GenStage's pull-based design delivering 50% performance improvements, a new PDF data extraction library that leverages Python through PythonX, AppSignal's guide to deploying Phoenix with Kamal, an Elixir School lesson on embedding Lua in applications, Peter Solnica's new inflection library for word transformations, Fly.io announcing Docker Compose compatibility for multi-container deployments, and the full ElixirConf 2025 agenda going live with discount tickets available, and more! Show Notes online - http://podcast.thinkingelixir.com/263 (http://podcast.thinkingelixir.com/263) Elixir Community News https://paraxial.io/ (https://paraxial.io/utm_source=thinkingelixir&utm_campaign=thinkingelixir-july2025) – Paraxial.io is sponsoring today's show! Sign up for a free trial of Paraxial.io today and mention Thinking Elixir when you schedule a demo for a special offer. https://www.grisp.org/blog/posts/2025-06-11-grisp-nano-codebeam-sto (https://www.grisp.org/blog/posts/2025-06-11-grisp-nano-codebeam-sto?utm_source=thinkingelixir&utm_medium=shownotes) – GRiSP Nano prototype shows BEAM can run in just 16MB of memory https://grisp.myshopify.com/collections/frontpage/products/grisp-2 (https://grisp.myshopify.com/collections/frontpage/products/grisp-2?utm_source=thinkingelixir&utm_medium=shownotes) – GRiSP 2 tiny computer available now for BEAM applications https://bsky.app/profile/ettomatic.bsky.social/post/3lua7lpcxi22s (https://bsky.app/profile/ettomatic.bsky.social/post/3lua7lpcxi22s?utm_source=thinkingelixir&utm_medium=shownotes) – Bluesky post announcing BBC's ElixirConf EU talk https://www.youtube.com/watch?v=e99QDd0_C20 (https://www.youtube.com/watch?v=e99QDd0_C20?utm_source=thinkingelixir&utm_medium=shownotes) – How Elixir Powers the BBC From PoC to Production at Scale by Ettore Berardi https://careers.bbc.co.uk/job/Senior-Software-Engineer/24846-en_GB/ (https://careers.bbc.co.uk/job/Senior-Software-Engineer/24846-en_GB/?utm_source=thinkingelixir&utm_medium=shownotes) – BBC job posting for Senior Software Engineer using Elixir https://x.com/accomazzo/status/1945622634731114801 (https://x.com/accomazzo/status/1945622634731114801?utm_source=thinkingelixir&utm_medium=shownotes) – GenStage's pull-based design explanation with 6-minute video showing 50% speed improvement https://x.com/nelsonmestevao/status/1947087502902231412 (https://x.com/nelsonmestevao/status/1947087502902231412?utm_source=thinkingelixir&utm_medium=shownotes) – X post announcing the pdf_extractor library for data extraction from PDFs https://github.com/nelsonmestevao/pdf_extractor/ (https://github.com/nelsonmestevao/pdf_extractor/?utm_source=thinkingelixir&utm_medium=shownotes) – PDF data extraction library for Elixir https://hexdocs.pm/pdf_extractor/readme.html (https://hexdocs.pm/pdf_extractor/readme.html?utm_source=thinkingelixir&utm_medium=shownotes) – Documentation for pdf_extractor library https://github.com/jsvine/pdfplumber (https://github.com/jsvine/pdfplumber?utm_source=thinkingelixir&utm_medium=shownotes) – Python pdfplumber library that pdf_extractor leverages https://github.com/livebook-dev/pythonx (https://github.com/livebook-dev/pythonx?utm_source=thinkingelixir&utm_medium=shownotes) – PythonX library for seamless Python integration with Elixir https://podcast.thinkingelixir.com/244 (https://podcast.thinkingelixir.com/244?utm_source=thinkingelixir&utm_medium=shownotes) – Interview with Jonatan Kłosko about PythonX https://blog.appsignal.com/2025/06/10/deploying-phoenix-applications-with-kamal.html (https://blog.appsignal.com/2025/06/10/deploying-phoenix-applications-with-kamal.html?utm_source=thinkingelixir&utm_medium=shownotes) – AppSignal article on deploying Phoenix applications with Kamal https://kamal-deploy.org/ (https://kamal-deploy.org/?utm_source=thinkingelixir&utm_medium=shownotes) – Kamal deployment tool - Capistrano for Containers https://github.com/elixirschool/school_house (https://github.com/elixirschool/school_house?utm_source=thinkingelixir&utm_medium=shownotes) – Elixir School open source repository https://elixirschool.com/en/lessons/misc/lua (https://elixirschool.com/en/lessons/misc/lua?utm_source=thinkingelixir&utm_medium=shownotes) – Elixir School lesson on embedding Lua in Elixir applications https://hexdocs.pm/lua/ (https://hexdocs.pm/lua/?utm_source=thinkingelixir&utm_medium=shownotes) – Elixir Lua package documentation https://github.com/tv-labs/lua (https://github.com/tv-labs/lua?utm_source=thinkingelixir&utm_medium=shownotes) – Elixir friendly wrapper around luerl Erlang package https://github.com/rvirding/luerl (https://github.com/rvirding/luerl?utm_source=thinkingelixir&utm_medium=shownotes) – Luerl Erlang package for Lua integration https://bsky.app/profile/solnic.dev/post/3luaizmyjvt2c (https://bsky.app/profile/solnic.dev/post/3luaizmyjvt2c?utm_source=thinkingelixir&utm_medium=shownotes) – Peter Solnica announces new Inflection library on Bluesky https://github.com/solnic/drops_inflector (https://github.com/solnic/drops_inflector?utm_source=thinkingelixir&utm_medium=shownotes) – Drops Inflector library for word inflections in Elixir https://bsky.app/profile/fly.io/post/3lt4bjcouwn2y (https://bsky.app/profile/fly.io/post/3lt4bjcouwn2y?utm_source=thinkingelixir&utm_medium=shownotes) – Fly.io announces Docker Compose compatibility https://community.fly.io/t/docker-compose-compatibility-the-journey-begins/25285 (https://community.fly.io/t/docker-compose-compatibility-the-journey-begins/25285?utm_source=thinkingelixir&utm_medium=shownotes) – Fly.io community post about Docker Compose compatibility journey https://community.fly.io/t/using-containers-with-flyctl/24729 (https://community.fly.io/t/using-containers-with-flyctl/24729?utm_source=thinkingelixir&utm_medium=shownotes) – Guide on using containers with flyctl https://fly.io/docs/machines/guides-examples/multi-container-machines/ (https://fly.io/docs/machines/guides-examples/multi-container-machines/?utm_source=thinkingelixir&utm_medium=shownotes) – Fly.io documentation for multi-container machines https://elixirstream.dev/gendiff (https://elixirstream.dev/gendiff?utm_source=thinkingelixir&utm_medium=shownotes) – David's Elixir gendiff project https://elixirconf.com/ (https://elixirconf.com/?utm_source=thinkingelixir&utm_medium=shownotes) – ElixirConf 2025 full agenda now live https://ti.to/elixirconf/2025/discount/ThinkingElixir (https://ti.to/elixirconf/2025/discount/ThinkingElixir?utm_source=thinkingelixir&utm_medium=shownotes) – ElixirConf tickets with ThinkingElixir discount code for 10% off Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Find us online - Message the show - Bluesky (https://bsky.app/profile/thinkingelixir.com) - Message the show - X (https://x.com/ThinkingElixir) - Message the show on Fediverse - @ThinkingElixir@genserver.social (https://genserver.social/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen on X - @brainlid (https://x.com/brainlid) - Mark Ericksen on Bluesky - @brainlid.bsky.social (https://bsky.app/profile/brainlid.bsky.social) - Mark Ericksen on Fediverse - @brainlid@genserver.social (https://genserver.social/brainlid) - David Bernheisel on Bluesky - @david.bernheisel.com (https://bsky.app/profile/david.bernheisel.com) - David Bernheisel on Fediverse - @dbern@genserver.social (https://genserver.social/dbern)

In today's episode, I'm joined by Brandon Wong — the CEO and Founder of Demystify AI, an innovative AI company based in Los Angeles. Brandon grew up in Southern California, graduated from UCLA with a degree in Data Science (specializing in Cybersecurity), and formerly worked as a Senior Software Engineer for the Oscars in Hollywood.

Is your engineering team running like the wild, wild west? What does engineering excellence look like in practice?In this episode, Ganesh Datta, co-founder and CTO of Cortex, explores what it takes to achieve engineering excellence. Ganesh shares lessons from his own journey, from early bug-fixing to building a company focused on engineering excellence.We discuss how platform engineering and internal developer platforms (IDPs) can help teams scale, improve reliability, and align with business outcomes. Ganesh also explains why culture, leadership, and clear metrics matter more than any single tool.If you're looking to make your engineering team a true business driver, this conversation is for you.Key topics discussed:How to define engineering excellence and why it's tied to business outcomes.The critical role of leadership in connecting engineering initiatives to business values.When to invest in platform engineering and internal developer platforms as your team grows.Common misconceptions about platform engineering.The importance of clear metrics, shared language, and transparency for continuous improvement.Building a culture that supports operational excellence through rituals and repeated messaging.Real-world examples of using generative AI to accelerate platform adoption and incident analysis.Timestamps:(00:00) Trailer & Intro(01:56) Career Turning Points(07:50) The Practice of Finding the Patterns in Issues(11:39) The Definition of Engineering Excellence(17:10) The Leader's Role in Engineering Excellence(22:31) Aligning Engineering Excellence with the Business Outcomes(26:30) The Importance of Metrics in Engineering Excellence(33:35) The Culture that Drives Engineering Excellence(39:05) Platform Engineering and Internal Developer Platform(45:02) The Biggest Misconception of Platform Engineering or IDP(50:36) Cortex as an Engineering Excellence Platform(52:39) Generative AI Use Case in Platform Engineering(55:26) 3 Tech Lead Wisdom_____Ganesh Datta's BioGanesh Datta is a Co-Founder & CTO of Cortex. Before co-founding Cortex, he was a Principal Software Engineer at Mission Lane where he was responsible for driving the development of real-time underwriting infrastructure. At LendUp, Ganesh was a Senior Software Engineer leading the development and optimization of the company's decisioning infrastructure and financial account management system. Ganesh holds a bachelor of science in computer science from the University of California San Diego.Follow Ganesh:LinkedIn – linkedin.com/in/gsdattaTwitter – x.com/gsdattaWebsite – www.cortex.ioEmail – ganesh@cortex.ioJoin Ganesh & Cortex at IDPCon in NYC – ipdcon.comLike this episode?Show notes & transcript: techleadjournal.dev/episodes/225.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

TypeScript is a statically typed superset of JavaScript that adds optional type annotations and modern language features to improve developer productivity and code safety. The TypeScript compiler performs type checking at compile time, catching errors before code is run, and also transforms TypeScript code into clean, standards-compliant JavaScript. Jake Bailey is Senior Software Engineer at The post TypeScript with Jake Bailey appeared first on Software Engineering Daily.

In this podcast episode, host Michelle Frechette  welcomes Felix Arntz, a senior software engineer at Google, about his decade of contributions to the WordPress community. Felix shares insights on effective communication, persistence, and attention to detail in open-source collaboration. He highlights the importance of building relationships, learning from others, and embracing the welcoming nature of the WordPress community. The episode also introduces Felix's new "View Transitions" plugin, designed to enhance user experience. Listeners are encouraged to engage, contribute, and build connections within the WordPress ecosystem.Top Takeaways:Attention to Detail Is a Key Marker of ProfessionalismFelix and Michelle emphasized that small details—like capitalizing the "P" in WordPress—may seem trivial but are taken seriously by seasoned professionals. This attention to detail reflects pride in one's work and often becomes a litmus test for developers and marketers alike when assessing quality and seriousness.Thinking at Scale and Growing Gradually Are Crucial in Open Source Contribution: Felix discussed the importance of thinking at scale, especially when contributing to WordPress core. A feature might work well for a blog with 80 posts but break down on a site with tens of thousands. Additionally, contributors are encouraged to increase scope gradually, starting with bug fixes, so they can build trust, demonstrate commitment, and avoid burnout or disappointment when larger proposals stall.Personal Motivation Can Guide Your Niche in Open Source Work: Felix shared how his contributions to WordPress core initially grew out of real-world problems he encountered during freelance work. This insight reinforces the idea that contributors should follow their authentic interests and pain points when selecting where to focus their energy, making their efforts more sustainable and impactful.Relationships and Community Are the Heart of the WordPress Project: Michelle and Felix agreed that building personal relationships—whether at WordCamps, online, or through collaborative work—is not just rewarding personally, but also essential for project momentum. Felix shared how meeting someone briefly in person changes how online collaboration feels. Michelle told a moving story about how her community connections helped her navigate an inaccessible travel situation, underscoring the tangible power of WordPress friendships.Mentioned in the Show:This Week in WordPressFelix-Arntz.me

In this episode of the Data Science Salon Podcast, we sit down with Sasibhushan Rao Chanthati, AVP and Senior Software Engineer at T. Rowe Price, where he's building the future of finance through intelligent, scalable technologies. Sasi specializes in creating secure digital ecosystems and real-time analytics platforms that power AI-driven decision making at scale. With a background that spans research, software engineering, and cloud architecture, he's pushing the boundaries of what's possible at the intersection of fintech, automation, and enterprise AI. In this episode, Sasi shares insights from over a decade of experience building next-gen systems across the financial sector, his passion for ethical innovation, and what it really takes to build future-ready, inclusive AI infrastructure. Key Highlights: Sasibhushan walks us through the technical backbone of modern financial infrastructure and how AI is redefining intelligent automation. Real-world examples of building decision support systems using ServiceNow, AWS, and LLMs. Thoughts on balancing academic research with enterprise-scale engineering—and why that blend drives better innovation. Insights on the ethics and governance challenges facing enterprise AI adoption. Advice for up-and-coming engineers and researchers entering today's fast-evolving AI landscape. This episode is a must-listen for data scientists, engineers, technical leaders, and anyone interested in how automation, AI, and cloud technologies are transforming the global financial ecosystem.

Our conversation with MacPaw's Senior Software Engineer Serhii Popov and Product Manager Pavlo Haidamak continues to explore the intersection of product development, ethical data practices, and user trust. The team shares their experience building CleanMyMac and Setapp, emphasizing the importance of transparency, responsible data handling, and thoughtful feature design—like their decision to bring back the Space Lens module after unexpected user outcry. With real-world examples, they unpack how customer feedback and cultural perspectives inform their work, and why they believe developers should treat users as collaborators—not data sources.  This edition of MacVoices is supported by Notion, the best AI tool for work. Check it out at notion.com/macvoices. Show Notes: Chapters: 00:08 Introduction to Developer Perspectives14:02 Insights from Setapp Developers23:30 Gathering Customer Feedback31:18 Treating Customers as Team Members36:51 Wrapping Up and Final Thoughts Links: MacPaw Discord Server:https://discord.gg/eN4dX2RRkN Guests: Pavlo Haidamak is a Product Manager at MacPaw, currently leading the team behind CleanMyMac. With a background in Computer Science, Pavlo began his career as a QA engineer and has since managed acclaimed products such as Gemini 2, Setapp, and SpyBuster. As a CODA (Child of Deaf Adults), he is dedicated to driving innovation and making apps smarter and more accessible. Outside of technology, Pavlo is an avid painter and analogue photography enthusiast, with a particular love for Polaroid cameras. In his free time, he enjoys baking bread, vibe coding and spending time with his tiny chihuahua, Loretta. You can connect with him here: www.linkedin.com/in/haidamak Serhi Popovi is a Senior Software Engineer at MacPaw with more than 7 years of experience developing world-class multi-platform apps. An expert in Swift, Swift Multiplatform, MarketplaceKit, Accessibility and other technologies, he's worked on several projects like Setapp, Setapp software development kit, and Spark Email. As the engineering lead of Setapp Mobile, Serhii has lead his team to develop one of the first successful alternative marketplaces for iOS, all while contributing to the Apple developer community through conference presentations, advocacy, and education.You can connect with him here:  LinkedIn - linkedin.com/in/serg-i  X: x.com/zaris__  Website: bysergi.com Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Our conversation with MacPaw's Senior Software Engineer Serhii Popov and Product Manager Pavlo Haidamak continues to explore the intersection of product development, ethical data practices, and user trust. The team shares their experience building CleanMyMac and Setapp, emphasizing the importance of transparency, responsible data handling, and thoughtful feature design—like their decision to bring back the Space Lens module after unexpected user outcry. With real-world examples, they unpack how customer feedback and cultural perspectives inform their work, and why they believe developers should treat users as collaborators—not data sources.  This edition of MacVoices is supported by Notion, the best AI tool for work. Check it out at notion.com/macvoices. Show Notes: Chapters: 00:08 Introduction to Developer Perspectives 14:02 Insights from Setapp Developers 23:30 Gathering Customer Feedback 31:18 Treating Customers as Team Members 36:51 Wrapping Up and Final Thoughts Links: MacPaw Discord Server: https://discord.gg/eN4dX2RRkN Guests: Pavlo Haidamak is a Product Manager at MacPaw, currently leading the team behind CleanMyMac. With a background in Computer Science, Pavlo began his career as a QA engineer and has since managed acclaimed products such as Gemini 2, Setapp, and SpyBuster. As a CODA (Child of Deaf Adults), he is dedicated to driving innovation and making apps smarter and more accessible. Outside of technology, Pavlo is an avid painter and analogue photography enthusiast, with a particular love for Polaroid cameras. In his free time, he enjoys baking bread, vibe coding and spending time with his tiny chihuahua, Loretta. You can connect with him here: www.linkedin.com/in/haidamak Serhi Popovi is a Senior Software Engineer at MacPaw with more than 7 years of experience developing world-class multi-platform apps. An expert in Swift, Swift Multiplatform, MarketplaceKit, Accessibility and other technologies, he's worked on several projects like Setapp, Setapp software development kit, and Spark Email. As the engineering lead of Setapp Mobile, Serhii has lead his team to develop one of the first successful alternative marketplaces for iOS, all while contributing to the Apple developer community through conference presentations, advocacy, and education.You can connect with him here:  LinkedIn - linkedin.com/in/serg-i  X: x.com/zaris__  Website: bysergi.com Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Senior Software Engineer Serhii Popov and Product Manager Pavlo Haidamak, both of MacPaw, offer an inside look at how CleanMyMac is built with user trust, transparency, and security at the forefront. They discuss how evolving regulations like GDPR and Apple's system restrictions have changed the way software is developed, tested, and updated. The conversation explores balancing user control with ease of use, why informed permission requests matter, and how user feedback directly shapes product improvements. With examples from their own workflows and challenges, they highlight what it means to build responsible software in an age of heightened privacy concerns.0:09 Introduction to MacPaw's Perspective (Part 1)  This edition of MacVoices is supported by Notion, the best AI tool for work. Check it out at notion.com/macvoices. Show Notes: Chapters: 01:49 Roles and Responsibilities at MacPaw 03:58 Evolving Demands in Software Development 04:50 Trust and Security in Software 09:36 Educating Customers on Data Privacy 13:21 Permission Requests and User Experience 17:17 Customer Experience with CleanMyMac 20:47 The Importance of User Feedback 32:31 Closing Thoughts on User Control Links: MacPaw Discord Server:https://discord.gg/eN4dX2RRkN Guests: Pavlo Haidamak is a Product Manager at MacPaw, currently leading the team behind CleanMyMac. With a background in Computer Science, Pavlo began his career as a QA engineer and has since managed acclaimed products such as Gemini 2, Setapp, and SpyBuster. As a CODA (Child of Deaf Adults), he is dedicated to driving innovation and making apps smarter and more accessible. Outside of technology, Pavlo is an avid painter and analogue photography enthusiast, with a particular love for Polaroid cameras. In his free time, he enjoys baking bread, vibe coding and spending time with his tiny chihuahua, Loretta. You can connect with him here: www.linkedin.com/in/haidamak Serhi Popovi is a Senior Software Engineer at MacPaw with more than 7 years of experience developing world-class multi-platform apps. An expert in Swift, Swift Multiplatform, MarketplaceKit, Accessibility and other technologies, he's worked on several projects like Setapp, Setapp software development kit, and Spark Email. As the engineering lead of Setapp Mobile, Serhii has lead his team to develop one of the first successful alternative marketplaces for iOS, all while contributing to the Apple developer community through conference presentations, advocacy, and education.You can connect with him here:  LinkedIn - linkedin.com/in/serg-i  X: x.com/zaris__  Website: bysergi.com Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Senior Software Engineer Serhii Popov and Product Manager Pavlo Haidamak, both of MacPaw, offer an inside look at how CleanMyMac is built with user trust, transparency, and security at the forefront. They discuss how evolving regulations like GDPR and Apple's system restrictions have changed the way software is developed, tested, and updated. The conversation explores balancing user control with ease of use, why informed permission requests matter, and how user feedback directly shapes product improvements. With examples from their own workflows and challenges, they highlight what it means to build responsible software in an age of heightened privacy concerns.0:09 Introduction to MacPaw's Perspective (Part 1)  This edition of MacVoices is supported by Notion, the best AI tool for work. Check it out at notion.com/macvoices. Show Notes: Chapters: 01:49 Roles and Responsibilities at MacPaw 03:58 Evolving Demands in Software Development 04:50 Trust and Security in Software 09:36 Educating Customers on Data Privacy 13:21 Permission Requests and User Experience 17:17 Customer Experience with CleanMyMac 20:47 The Importance of User Feedback 32:31 Closing Thoughts on User Control Links: MacPaw Discord Server: https://discord.gg/eN4dX2RRkN Guests: Pavlo Haidamak is a Product Manager at MacPaw, currently leading the team behind CleanMyMac. With a background in Computer Science, Pavlo began his career as a QA engineer and has since managed acclaimed products such as Gemini 2, Setapp, and SpyBuster. As a CODA (Child of Deaf Adults), he is dedicated to driving innovation and making apps smarter and more accessible. Outside of technology, Pavlo is an avid painter and analogue photography enthusiast, with a particular love for Polaroid cameras. In his free time, he enjoys baking bread, vibe coding and spending time with his tiny chihuahua, Loretta. You can connect with him here: www.linkedin.com/in/haidamak Serhi Popovi is a Senior Software Engineer at MacPaw with more than 7 years of experience developing world-class multi-platform apps. An expert in Swift, Swift Multiplatform, MarketplaceKit, Accessibility and other technologies, he's worked on several projects like Setapp, Setapp software development kit, and Spark Email. As the engineering lead of Setapp Mobile, Serhii has lead his team to develop one of the first successful alternative marketplaces for iOS, all while contributing to the Apple developer community through conference presentations, advocacy, and education.You can connect with him here:  LinkedIn - linkedin.com/in/serg-i  X: x.com/zaris__  Website: bysergi.com Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

If you've ever wondered how to go beyond ChatGPT and actually connect AI to real-world systems and workflows, this conversation is for you.    Tessa Burg gathers with three Mod Op experts—Fabio Fiss, Aaron Grando and Javier López—to break down key technologies like MCP (Model Context Protocol) and A2A (Agent-to-Agent). The team explains how they work, and shares examples of how they're already being used in creative and powerful ways.   More than just a technical discussion, this episode tackles the bigger picture—how AI will (and won't) replace human jobs, how it can serve as a teammate and how it's enabling people at all levels to do more, faster.    Whether you're building websites, leading creative teams or optimizing business operations, you'll walk away with practical insights, relatable analogies and renewed clarity on where to start integrating AI meaningfully into your workflow.   Leader Generation is hosted by Tessa Burg and brought to you by Mod Op.    Contributors: Fabio Fiss, VP of Technology at Mod Op Aaron Grando, VP of Creative Innovation at Mod Op Javier López, Senior Software Engineer at Mod Op   About Tessa Burg: Tessa is the Chief Technology Officer at Mod Op and Host of the Leader Generation podcast. She has led both technology and marketing teams for 15+ years. Tessa initiated and now leads Mod Op's AI/ML Pilot Team, AI Council and Innovation Pipeline. She started her career in IT and development before following her love for data and strategy into digital marketing. Tessa has held roles on both the consulting and client sides of the business for domestic and international brands, including American Greetings, Amazon, Nestlé, Anlene, Moen and many more. Tessa can be reached on LinkedIn or at Tessa.Burg@ModOp.com.  

Erick Ho is CEO and co-founder of Function Network, a decentralized AI protocol launching on Base. Prior to this, Erick served as a Senior Software Engineer at Coinbase and advised seed to Series A startups as a Solutions Architect at Amazon Web Services. He focuses on scalable infrastructure and decentralized systems. He holds a Computer Science degree from Louisiana State University.

Erick Ho is CEO and co-founder of Function Network, a decentralized AI protocol launching on Base. Prior to this, Erick served as a Senior Software Engineer at Coinbase and advised seed to Series A startups as a Solutions Architect at Amazon Web Services. He focuses on scalable infrastructure and decentralized systems. He holds a Computer Science degree from Louisiana State University.

In this interview, Nora Lissy, VP of Healthcare Consulting & Implementation, and James Kirtley, Senior Software Engineer at Dimensional Insight, break down why speed matters when it comes to healthcare analytics. With tighter budgets and growing data demands, hospitals can't afford to wait months for insights. They share how their approach delivers real results in weeks, not years, and why validating data before making decisions is crucial. Plus, they discuss the biggest data mistakes hospitals make—and how to avoid them. Learn more about Dimensional Insight at https://www.dimins.com/ Find more great health IT content at https://www.healthcareittoday.com/

Last month, during APRICOT 2025 / APNIC 59, the Internet Society hosted its first Pulse Internet Measurement Forum (PIMF). PIMF brings together people interested in Internet measurement from a wide range of perspectives — from technical details to policy, governance, and social issues. The goal is to create a space for open discussion, uniting both technologists and policy experts. In this second special episode of PING, we continue our break from the usual one-on-one podcast format and present a recap of why the PIMF forum was held, and the last 3 short interviews from the workshop. First we hear a repeat of Amreesh Phokeer's presentation. Amreesh is from the Internet Society and discusses his role in managing the Pulse activity within ISOC. Alongside Robbie Mitchell, Amreesh helped organize the forum, aiming to foster collaboration between measurement experts and policy professionals. Next we hear from Beau Gieskens, a Senior Software Engineer from APNIC Information Products. Beau has been working on the DASH system and discusses his PIMF presentation on a re-design to an event-sourcing model which reduced database query load and improved speed and scaling of the service. We then have Doug Madory from Kentik who presented to PIMF on a quirk in how Internet Routing Registries or IRR are being used, which can cause massive costs in BGP filter configuration and is related to some recent route leaks being seen at large in the default free zone of BGP. Finally, we hear from Lia Hestina from the RIPE NCC Atlas project. Lia is the community Development officer, and focusses on Asia Pacific and Africa for the Atlas project. Lia discusses the Atlas system and how it underpins measurements worldwide, including ones discussed in the PIMF meeting. For more insights from PIMF, be sure to check out the PULSE Forum recording on the Internet Society YouTube feed

Two-time Emmy and Three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Ken Jon Miyachi. He is the Co-Founder and CEO of BitMind—the world's first decentralized Artificial Intelligence (AI) Deepfake Detection System. Ken is an authority on how people can protect themselves using free solutions. He can provide:● Live demonstrations of real vs. AI-generated content● Simple steps your readers can take to verify suspicious images● Insights on the latest AI scam tactics and how to avoid them● Examples of recent cases where these tools could have prevented fraud● Live demonstration of deepfake detection system● Practical tips for viewers to protect themselves from AI scams● Analysis of why traditional verification methods are failing● Solutions for the future of AI fraud prevention Prior to founding BitMind, Miyachi served as a Senior Software Engineer at leading organizations such as NEAR Foundation, Amazon, and Polymer Labs, where he honed his expertise in scalable technology solutions. He studied computer science at UCSD where he conducted research at the San Diego Supercomputer Center. Company Description *The award-winning BitMind technology providesAC awareness and protection against evolving threats, adapting in real-time to new ACAI developments. BitMind, has created a suite of free apps and tools allowing users to instantly detect AI-generated images before people fall victim to misinformation and deception. The company offers a range of innovative solutions that democratize and accelerate open-source AI, with a core focus on Decentralized AI Networks. The company, focused on the Bittensor protocol, provides compute, developer tooling, and integration services that enable users to fully harness the power of a Decentralized all-in-one AI platform. For both B2C and B2B use, BitMind, has created a suite of free apps and tools that can instantly detect AI-generated images before people fall victim. These tools are free and accessible to anyone, and include: AI Detector App: A simple website where users can drag-and-drop suspicious images for fast deepfake detection results; Chrome Extension: Flags AI-created content in real-time, while browsing. See video examples of how it works here and here; X Bot: Verifies if images on X/Twitter are real or AI-generated; Discord Bot: Verifies if images are real or AI-generated via its Discord Integration; AI or Not Game: Fun Telegram bot that tests your ability to distinguish between AI-generated and human-created images.In February 2025, BitMind won the Best Infrastructure Prize at the Coinbase Developer Platform Hackathon for its decentralized reputation system. The system provides real-time verification of AI claims through blockchain technology, integrating Coinbase CDP, Virtuals.io, and Opacity Network. The solution enables on-chain reward distribution and trust share trading via the Ethos Network, while featuring custom Bittensor plugins for Eliza and Virtuals platforms. #STRAW #BEST #SHMSSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Ken Jon Miyachi. He is the Co-Founder and CEO of BitMind—the world's first decentralized Artificial Intelligence (AI) Deepfake Detection System. Ken is an authority on how people can protect themselves using free solutions. He can provide:● Live demonstrations of real vs. AI-generated content● Simple steps your readers can take to verify suspicious images● Insights on the latest AI scam tactics and how to avoid them● Examples of recent cases where these tools could have prevented fraud● Live demonstration of deepfake detection system● Practical tips for viewers to protect themselves from AI scams● Analysis of why traditional verification methods are failing● Solutions for the future of AI fraud prevention Prior to founding BitMind, Miyachi served as a Senior Software Engineer at leading organizations such as NEAR Foundation, Amazon, and Polymer Labs, where he honed his expertise in scalable technology solutions. He studied computer science at UCSD where he conducted research at the San Diego Supercomputer Center. Company Description *The award-winning BitMind technology providesAC awareness and protection against evolving threats, adapting in real-time to new ACAI developments. BitMind, has created a suite of free apps and tools allowing users to instantly detect AI-generated images before people fall victim to misinformation and deception. The company offers a range of innovative solutions that democratize and accelerate open-source AI, with a core focus on Decentralized AI Networks. The company, focused on the Bittensor protocol, provides compute, developer tooling, and integration services that enable users to fully harness the power of a Decentralized all-in-one AI platform. For both B2C and B2B use, BitMind, has created a suite of free apps and tools that can instantly detect AI-generated images before people fall victim. These tools are free and accessible to anyone, and include: AI Detector App: A simple website where users can drag-and-drop suspicious images for fast deepfake detection results; Chrome Extension: Flags AI-created content in real-time, while browsing. See video examples of how it works here and here; X Bot: Verifies if images on X/Twitter are real or AI-generated; Discord Bot: Verifies if images are real or AI-generated via its Discord Integration; AI or Not Game: Fun Telegram bot that tests your ability to distinguish between AI-generated and human-created images.In February 2025, BitMind won the Best Infrastructure Prize at the Coinbase Developer Platform Hackathon for its decentralized reputation system. The system provides real-time verification of AI claims through blockchain technology, integrating Coinbase CDP, Virtuals.io, and Opacity Network. The solution enables on-chain reward distribution and trust share trading via the Ethos Network, while featuring custom Bittensor plugins for Eliza and Virtuals platforms. #STRAW #BEST #SHMSSee omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Ken Jon Miyachi. He is the Co-Founder and CEO of BitMind—the world's first decentralized Artificial Intelligence (AI) Deepfake Detection System. Ken is an authority on how people can protect themselves using free solutions. He can provide:● Live demonstrations of real vs. AI-generated content● Simple steps your readers can take to verify suspicious images● Insights on the latest AI scam tactics and how to avoid them● Examples of recent cases where these tools could have prevented fraud● Live demonstration of deepfake detection system● Practical tips for viewers to protect themselves from AI scams● Analysis of why traditional verification methods are failing● Solutions for the future of AI fraud prevention Prior to founding BitMind, Miyachi served as a Senior Software Engineer at leading organizations such as NEAR Foundation, Amazon, and Polymer Labs, where he honed his expertise in scalable technology solutions. He studied computer science at UCSD where he conducted research at the San Diego Supercomputer Center. Company Description *The award-winning BitMind technology providesAC awareness and protection against evolving threats, adapting in real-time to new ACAI developments. BitMind, has created a suite of free apps and tools allowing users to instantly detect AI-generated images before people fall victim to misinformation and deception. The company offers a range of innovative solutions that democratize and accelerate open-source AI, with a core focus on Decentralized AI Networks. The company, focused on the Bittensor protocol, provides compute, developer tooling, and integration services that enable users to fully harness the power of a Decentralized all-in-one AI platform. For both B2C and B2B use, BitMind, has created a suite of free apps and tools that can instantly detect AI-generated images before people fall victim. These tools are free and accessible to anyone, and include: AI Detector App: A simple website where users can drag-and-drop suspicious images for fast deepfake detection results; Chrome Extension: Flags AI-created content in real-time, while browsing. See video examples of how it works here and here; X Bot: Verifies if images on X/Twitter are real or AI-generated; Discord Bot: Verifies if images are real or AI-generated via its Discord Integration; AI or Not Game: Fun Telegram bot that tests your ability to distinguish between AI-generated and human-created images.In February 2025, BitMind won the Best Infrastructure Prize at the Coinbase Developer Platform Hackathon for its decentralized reputation system. The system provides real-time verification of AI claims through blockchain technology, integrating Coinbase CDP, Virtuals.io, and Opacity Network. The solution enables on-chain reward distribution and trust share trading via the Ethos Network, while featuring custom Bittensor plugins for Eliza and Virtuals platforms. #STRAW #BEST #SHMSSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Not every messy piece of code needs a refactor. Noémi Ványi, Senior Software Engineer at Xata, joins Robby to discuss how to develop the intuition to know when refactoring is truly necessary and when it's just unnecessary churn. She shares her approach to balancing pragmatism and maintainability, how product teams and developers can work better together, and why developer autonomy is key to sustainable software.Drawing from her experience working on both open-source and closed-source projects, Noémi reflects on the unique challenges each presents—whether it's dealing with unresponsive GitHub issue reporters, handling unanticipated user behaviors, or navigating large-scale refactors in existing systems. She also shares her philosophy on technical debt: not all of it needs to be paid down, and some of it can actually be strategic.Robby and Noémi also explore the importance of writing meaningful commit messages, the hidden benefits of reviewing open-source pull requests, and why developers should stop waiting for permission to clean up their codebases.Episode Highlights[00:01:00] The characteristics of well-maintained software: modular design, good tests, and observability.[00:02:00] Open source vs. closed source software: Why communication matters more than you think.[00:04:50] Not all technical debt is worth paying down—how to decide when to refactor.[00:06:20] Developing engineering intuition: How experience shapes decision-making.[00:11:08] Lessons from refactoring a log processing system at Elastic.[00:17:09] Strategies for modernizing legacy systems without unnecessary rewrites.[00:19:52] Why maintainability is a business requirement, not an afterthought.[00:24:03] Should developers ask for permission to clean up code or just do it?[00:27:00] The impact of good commit messages and pull request documentation (GitHub PR Templates).[00:30:00] Are issue templates in open source a helpful guardrail or a barrier?[00:32:00] How to gain autonomy as a developer and advocate for technical improvements.[00:39:00] Noémi's advice: Only fix problems that are actually problems.Resources MentionedNoémi Ványi's WebsiteNoémi Ványi on GitHubElasticGitHub Pull Request TemplatesGitHubBook RecommendationLost in Thought: The Hidden Pleasures of an Intellectual Life by Zena Hitz

Claude Plays Pokémon - A Conversation with the Creator // MLOps Podcast #294 with Alexa Griffith, Senior Software Engineer at Bloomberg.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractAlexa shares her journey into software engineering, from early struggles with Airflow and Kubernetes to leading open-source projects like the Envoy AI Gateway. She and Demetrios discuss AI model deployment, tooling differences across tech roles, and the importance of abstraction. They highlight aligning technical work with business goals and improving cross-team communication, offering key insights into MLOps and AI infrastructure.// BioAlexa Griffith is a Senior Software Engineer at Bloomberg, where she builds scalable inference platforms for machine learning workflows and contributes to open-source projects like KServe. She began her career at Bluecore working in data science infrastructure, and holds an honors degree in Chemistry from the University of Tennessee, Knoxville. She shares her insights through her podcast, Alexa's Input (AI), technical blogs, and active engagement with the tech community at conferences and meetups.// Related LinksWebsite: https://alexagriffith.com/Kubecon Keynote about Envoy AI Gateway https://www.youtube.com/watch?v=do1viOk8nok~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity][https://x.com/mlopscommunity] or LinkedIn [https://go.mlops.community/linkedin] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Alexa on LinkedIn: /alexa-griffith

Naoki Hiroshima さんをゲストに迎えて、トロイの木馬、DOGE, トランプ、DEI, RTO などについて話しました。 Show Notes Sure grandma let's get you to bed Meme Generator The Young, Inexperienced Engineers Aiding Elon Musk's Government Takeover Introducing Apple Invites, a new app that brings people together Partiful - Free Online Party Invites Mark Zuckerberg blames Sheryl Sandberg as he seeks to strengthen ties with Trump, report Apple shareholders reject proposal to scrap company's diversity programs 福留光帆 - YouTube Why India has blocked the popular combat mobile game Apple pulls encryption feature from UK over government spying demands

How much can legacy code tell us beyond just functionality? Julia López, Senior Software Engineer at Harvest, believes that even small details—such as white spaces, variable names, and formatting choices—can reveal a system's history.In this episode, Julia and Robby discuss the importance of refactoring and how a strong engineering culture can make or break a team's ability to maintain and improve software over time. Julia shares her experience leading a multi-year overhaul of Harvest's billing system, balancing stakeholder expectations while ensuring the rewrite delivered real value.They explore how refactoring decisions evolve as teams grow, how to mentor newer developers to feel empowered to make changes, and why Julia doesn't always trust her own estimations (for good reason). She also opens up about the complexities of transitioning a live billing system while supporting customers, finance teams, and engineering operations—all without disrupting payments.Beyond technical decisions, they also dive into the challenges of communication in remote teams, the value of autonomy in software development, and how teams can make a case for technical debt reduction even when leadership isn't prioritizing it. If you've ever struggled with refactoring legacy systems or advocating for improvements, this conversation is packed with practical lessons.

Zach Vorhies (@perpetualmaniac) a Senior Software Engineer at Google turned Whistleblower. He joins us again tonight after a long hiatus to analyze what is being proposed with Project Stargate from an AI/Quantum Computing standpoint, and other relate topics as well! In the second half we take another fantastic string of calls from the audience, that put together many of tonight's puzzle pieces. All left-overs, including more highlights from the senate hearings, and the D.C. plane crash, will be done on Friday! Unleash Your Brain w/ Keto Brainz Nootropic Promo code FRANKLY: https://tinyurl.com/2cess6y7 Sponsor The Show and Get VIP Perks: https://www.quitefrankly.tv/sponsor Badass QF Apparel: https://tinyurl.com/f3kbkr4s Elevation Blend Coffee: https://tinyurl.com/2p9m8ndb One-Time Tip: http://www.paypal.me/QuiteFranklyLive Send Holiday cards, Letters, and other small gifts, to the Quite Frankly P.O. Box! 15 East Putnam Ave, #356 Greenwich, CT, 06830 Send Crypto: BTC: 1EafWUDPHY6y6HQNBjZ4kLWzQJFnE5k9PK LTC: LRs6my7scMxpTD5j7i8WkgBgxpbjXABYXX ETH: 0x80cd26f708815003F11Bd99310a47069320641fC For Everything Else Quite Frankly: Official Website: http://www.QuiteFrankly.tv Official Forum: https://bit.ly/3SToJFJ Official Telegram: https://t.me/quitefranklytv Twitter Community: https://tinyurl.com/5n8zmwx8 GUILDED Chat: https://bit.ly/3SmpV4G Discord Chat: https://discord.gg/KCdh92Fn Twitter: @QuiteFranklyTV Gab: @QuiteFrankly Truth: @QuiteFrankly GETTR: @QuiteFrankly MINDS: @QuiteFrankly Streaming Live On: QuiteFrankly.tv (Powered by Foxhole) FULL Episodes On Demand: Spotify: https://spoti.fi/301gcES iTunes: http://apple.co/2dMURMq Amazon: https://amzn.to/3afgEXZ SoundCloud: http://bit.ly/2dTMD13 Google Play: https://bit.ly/2SMi1SF BitChute: https://bit.ly/2vNSMFq Rumble: https://bit.ly/31h2HUg Kick: https://kick.com/quitefranklytv

Episode SummaryImagine if AI could detect and fix vulnerabilities in your code faster and with greater precision than ever before. That future is already here! In today's episode, we're joined by Berkay Berabi, an AI researcher and Senior Software Engineer at Snyk, to dive into the cutting-edge world of AI-powered vulnerability detection. Berkay offers insight into how Snyk is leveraging a hybrid AI approach to detect and fix vulnerabilities in code, combining human-driven expertise with machine learning for greater accuracy and scalability. He also introduces CodeReduce, a game-changing tool by Snyk that strips away irrelevant code, streamlining the detection process and addressing the challenges posed by complex, multi-step data flows. Through rigorous model testing, Snyk ensures that AI-generated fixes are validated to prevent errors, making the process faster and more reliable.Show NotesIn this fascinating episode of The Secure Developer, host Danny Allan sits down with Berkay Berabi, an AI researcher at Snyk, to explore the groundbreaking CodeReduce technology and its implications for software security. Berabi, who transitioned from electrical engineering to AI research, shares insights into how Snyk is revolutionizing vulnerability detection and remediation using artificial intelligence.The conversation delves deep into the technical aspects of CodeReduce, explaining how this innovative approach reduces complex code structures by up to 50 times their original size while maintaining vulnerability detection capabilities. Berabi explains the sophisticated process of code reduction, analysis, and fix generation, highlighting how AI models can better understand and address security vulnerabilities when working with simplified code. The discussion also covers the challenges of different AI models, from T5 to StarCoder and Mixtral, exploring their varying capabilities, accuracies, and performance trade-offs.The episode critically examines the future of AI in software development, addressing both opportunities and concerns. Berabi and Allan discuss recent findings about AI-generated code potentially introducing new vulnerabilities, referencing Gartner's prediction that by 2027, 25% of software vulnerabilities could be created by AI-generated code. They explore how tools like CodeReduce and other AI-powered security measures might help mitigate these risks while examining the broader implications of AI assistance in software development. This episode offers valuable insights for developers, security professionals, and anyone interested in the intersection of AI and software security.LinksDeepCode AI Fix Research PaperDeepCode AI Fix Blog Post Follow UsOur WebsiteOur LinkedIn

In this episode, we sit down with Nenad, a Senior Software Engineer and MongoDB Champion, who shares his inspiring journey from freelancing to becoming a key contributor in the MongoDB community.Nenad discusses his experiences with MongoDB, highlighting how its flexible schema and seamless integration with JavaScript have transformed his approach to software development.

After meeting at Kubecon, Keith gets in touch with Colin Murphy, a Senior Software Engineer at Adobe Systems, to discuss Web Assembly. They delve into how Adobe has employed Web Assembly to bring end-user applications to web browsers. Colin also discusses the promising aspects of server-side Web Assembly and highlights areas that need further development. [...]

React is an open-source front-end JavaScript library maintained by Meta. It was first released in 2013 and is now the most popular web framework. Ilya Gurevich is a Senior Software Engineer at The New York Times. Last winter, his team set out to implement React 18 for The Times' flagship core news site. Ilya recently The post React 18 at The New York Times with Ilya Gurevich appeared first on Software Engineering Daily.