Podcasts about Stack overflow

What happens when the creator of Stack Overflow decides he's going to take on rural poverty with a guaranteed minimum income—and bankrolls it himself? Find out why Jeff Atwood believes AI and philanthropy might matter more to the American dream than any new software ever could. Hegseth gives Anthropic CEO until Friday to back down in AI safeguards fight Musk's xAI and Pentagon reach deal to use Grok in classified systems Anthropic Accuses Chinese Companies of Siphoning Data From Claude How will OpenAI compete? — Benedict Evans My first vibe coding project! Anthropic Links AI Agent With Tools for Investment Banking, HR THE 2028 GLOBAL INTELLIGENCE CRISIS QuitGPT is going viral — 700,000 users are reportedly ditching ChatGPT for these AI rivals IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat OpenAI's first ChatGPT gadget could be a smart speaker with a camera ChatGPT spits out surprising insight in particle physics "Clavicular was mid jestergooning when a group of Foids came and spiked his Cortisol levels

What happens when the creator of Stack Overflow decides he's going to take on rural poverty with a guaranteed minimum income—and bankrolls it himself? Find out why Jeff Atwood believes AI and philanthropy might matter more to the American dream than any new software ever could. Hegseth gives Anthropic CEO until Friday to back down in AI safeguards fight Musk's xAI and Pentagon reach deal to use Grok in classified systems Anthropic Accuses Chinese Companies of Siphoning Data From Claude How will OpenAI compete? — Benedict Evans My first vibe coding project! Anthropic Links AI Agent With Tools for Investment Banking, HR THE 2028 GLOBAL INTELLIGENCE CRISIS QuitGPT is going viral — 700,000 users are reportedly ditching ChatGPT for these AI rivals IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat OpenAI's first ChatGPT gadget could be a smart speaker with a camera ChatGPT spits out surprising insight in particle physics "Clavicular was mid jestergooning when a group of Foids came and spiked his Cortisol levels

What happens when the creator of Stack Overflow decides he's going to take on rural poverty with a guaranteed minimum income—and bankrolls it himself? Find out why Jeff Atwood believes AI and philanthropy might matter more to the American dream than any new software ever could. Hegseth gives Anthropic CEO until Friday to back down in AI safeguards fight Musk's xAI and Pentagon reach deal to use Grok in classified systems Anthropic Accuses Chinese Companies of Siphoning Data From Claude How will OpenAI compete? — Benedict Evans My first vibe coding project! Anthropic Links AI Agent With Tools for Investment Banking, HR THE 2028 GLOBAL INTELLIGENCE CRISIS QuitGPT is going viral — 700,000 users are reportedly ditching ChatGPT for these AI rivals IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat OpenAI's first ChatGPT gadget could be a smart speaker with a camera ChatGPT spits out surprising insight in particle physics "Clavicular was mid jestergooning when a group of Foids came and spiked his Cortisol levels

What happens when the creator of Stack Overflow decides he's going to take on rural poverty with a guaranteed minimum income—and bankrolls it himself? Find out why Jeff Atwood believes AI and philanthropy might matter more to the American dream than any new software ever could. Hegseth gives Anthropic CEO until Friday to back down in AI safeguards fight Musk's xAI and Pentagon reach deal to use Grok in classified systems Anthropic Accuses Chinese Companies of Siphoning Data From Claude How will OpenAI compete? — Benedict Evans My first vibe coding project! Anthropic Links AI Agent With Tools for Investment Banking, HR THE 2028 GLOBAL INTELLIGENCE CRISIS QuitGPT is going viral — 700,000 users are reportedly ditching ChatGPT for these AI rivals IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat OpenAI's first ChatGPT gadget could be a smart speaker with a camera ChatGPT spits out surprising insight in particle physics "Clavicular was mid jestergooning when a group of Foids came and spiked his Cortisol levels

Kishen, Ivo en Saber bespreken hoe AI software development op z'n kop zet. Van de ontslagen bij Tailwind tot de uitdagingen voor Stack Overflow: businessmodellen staan onder druk. Maar AI is ook een enorme versneller, wat vroeger dagen kostte, doe je nu in een uur. Ze duiken in vibe coding vs. agentic engineering, spec-driven development, Claude Code en de vraag of developers straks nog zelf code schrijven. Plus: tips en een sci-fi aanrader.

Honeycomb Co-founder and CTO Charity Majors explains why measuring the right engineering metrics in the age of AI matters more than chasing numbers.Topics Include:Charity Majors introduces Honeycomb as the original observability company for complex systemsHoneycomb solves high cardinality problems across millions of individual customer experiencesTheir MCP tool ranked top five in Stack Overflow's most-used listCanva lets developers interact with production software directly from their IDEAI acts as an amplifier requiring strong reliability and observability foundationsMeasuring success requires multiple metrics to avoid gaming single numbersHoneycomb adopted Intercom's 2X productivity challenge enlisting employees to identify gainsWriting code was never the hard part even before generative AI arrivedHoneycomb created AI values prioritizing transparency and emotional safety for employeesStaff tested boundaries on resources and environmental impact prompting honest discussionsHoneycomb acquired Grok and shipped Query Assistant Canvas and MCP productsFuture concerns include AI economics shifting and AI-native developers lacking foundational expertiseParticipants:Charity Majors – Co-Founder/CTO, Honeycomb.ioSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

This week, we discuss the future of SaaS, OpenAI vs. Anthropic strategies, and cloud capex. Plus, when will you let an AI book your flights? Watch the YouTube Live Recording of Episode 559 Runner-up Titles Do we get to eat Moon Pies? Some days it's just me and the AI We have a LinkedIn page The state of the world has not gotten better, it's just moved to Kubernetes Trained on the Corpse of Stack Overflow. We just have to get the files right It is all just files It's all an OODA loop Rinse and reply. Is Software dead? Your margin is my yacht. claude-travel.md Vegans have morals though Rundown DriftlessAF: Introducing Chainguard Factory 2.0 Is Software dead? Clouded Judgement 2.6.26 - Software Is Dead...Again...For Real this Time...Maybe? Anthropic's breakout moment: how Claude won business and shook markets Besieged The $285 Billion 'SaaSpocalypse' Is the Wrong Panic The "whole product" is more relevant than ever Cloud Earnings Microsoft Q2 earnings beat on top and bottom lines as cloud revenue tops $50 billion, but stock falls Microsoft stock plunges as Wall Street questions AI investments A day of reckoning for the AI boom Oracle says it plans to raise up to $50 billion in debt and equity this year Google Earnings Beat. Cloud Computing Momentum Builds Amid Spending Boom Amazon stock falls 10% on $200 billion spending forecast, earnings miss Amazon's $200 Billion Spending Plan Raises Stakes in A.I. Race [Follow the CAPEX: Cloud Table Stakes 2024 Retrospective](http://(https://platformonomics.com/2025/02/follow-the-capex-cloud-table-stakes-2024-retrospective/) Amazon Earnings, CapEx Concerns, Commodity AI Google's parent company raises billions of dollars in debt sale OpenAI Drama Amazon in Talks to Invest Up to $50 Billion in OpenAI The $100 Billion Megadeal Between OpenAI and Nvidia Is on Ice Sam Altman got exceptionally testy over Claude Super Bowl ads | TechCrunch OpenAI will reportedly start testing ads in ChatGPT today Relevant to your Interests Deploying Moltbot (Formerly Clawdbot) Apple tops Q1 earnings estimates on record-breaking iPhone sales Clouded Judgement 1.30.26 - Software is Dead...Again! Leaders, gainers, and unexpected winners in the Enterprise AI arms race All Enterprise software is dead The Dumbest Thing I've Seen This Week SpaceX acquires xAI in record-setting deal as Musk looks to unify AI and space ambitions AWS destiny: becoming the next Lumen CloudBees CEO: Why Migration Is a Mirage Costing You Millions Xcode 26.3 unlocks the power of agentic coding The world is trying to log off U.S. tech Anthropic's newest AI model uncovered 500 zero-day software flaws in testing DHH on OpenClaw Adam Jacob really likes AI code generation Cautionary Tales – The WOW Machine Stops (Part 2) Kyndryl Shares Halved Amid CFO Departure, Accounting Review Our $200M Series C / Oxide Presentations — Benedict Evans Matrix messaging gaining ground in government IT Hello Entire World · Entire Blog Former GitHub CEO raises record $60M dev tool seed round at $300M valuation From magic to malware: How OpenClaw's agent skills become an attack surface Nonsense What If the Sensors on Your Car Were Inspecting Potholes for the Government? Honda Found Out Superbowl Ad 404 Conferences DevOpsDay LA at SCALE23x, March 6th, Pasadena, CA Use code: DEVOP for 50% off. Devnexus 2026, March 4th to 6th, Atlanta, GA. Use this 30% off discount code from your pals at Tanzu: DN26VMWARE30. Check out the Tanzu and Spring talks and trading cards on THE LANDING PAGE. Austin Meetup, March 10th, Open Lakehouse and AI — Listener Steve Anness speaking KubeCon EU, March 23rd to 26th, 2026 - Coté will be there on a media pass. Devopsdays Atlanta 2026. April 21-22 VMware User Groups (VMUGs): Amsterdam (March 17-19, 2026) - Coté speaking. Minneapolis (April 7-9, 2026) Toronto (May 12-14, 2026) Dallas (June 9-11, 2026) Orlando (October 20-22, 2026) SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Recommendations Brandon: YouTube TV plans launch this week Matt: Send Help Steal Coté: AI, open source, talent, and more, live at cfgmgmtcamp 2026, with Andrew Clay Shafer Tapistry

Después de 20 meses sin episodios, Coffee Power vuelve con fuerza. Oz y Tito Neira se reencuentran para analizar todo lo que cambió en el mundo del desarrollo de software desde junio de 2024. Desde la evolución de GPT-4 hasta los agentes autónomos, pasando por la caída del 77% en las preguntas de Stack Overflow, la migración de Codex a Claude Code, los peligros reales de la IA en producción y la pregunta incómoda: ¿va a desaparecer el junior developer? Una conversación honesta sobre qué roles cambian, cómo adaptarse y por qué los buenos developers tienen más oportunidades que nunca.✩ CURSOS DISPONIBLES

Новостной выпуск, в котором ведущие отодвигали эру AI, но она их настигала в новостях. какие изменения ждут подкаст в новом сезоне (спойлер: мы сами не знаем) ?реклама (непредвзятая) какого open-source продукта открыла новый сезон? ностальгия по какоаму гаджету накрыла ведущих?ждет ли Apple успех или нет с их новым продуктом?какие данные можно найти на портале открытых данных Европы?что мешает построить дата-центр в космосе?клод исполнил мечту о своей помидорной тепличке, а ты чего ждешь?что нового в Pandas 3.0?чем порадует олдов sqlit?как превратить embedded duckdb в полноценную субд? (но зачем?)что удивило в рейтинге СУБД ведущих?воскреснет ли StackOverflow в эру всемогущего AI?что можно встроить в водонагреватель, чтобы он стал бесплатным?Clickhouse купил langfuseи ты пошел в AI, брут?полногеномный поиск за 20 мин - миф или реальность?logging sucks и как это улучшить?грок, это правда мой любимый подкаст вернулся?00:00:23 dbt-тула от Алекса00:02:58 Pebble 200:06:26 AI-брошь00:10:21 Gemini + Apple00:10:29 Открытые дата-сеты Европы00:13:09 Космические дата-сеты00:17:41 Claude выращивает томаты00:20:55 Pandas 3.000:22:33 sqlit00:23:34 Gizmo-SQL00:25:14 Рейтинг популярности СУБД00:30:37 StackOverflow всё00:31:53 PGLite00:34:31 Орём на чатботы00:36:03 Водонагреватель с майнером00:38:29 Langfuse и Clickhouse00:43:00 Полногеномный поиск00:44:08 Logging sucks00:48:25 ИИ

BONUS: Thinking Like an Architect in the Age of AI-Assisted Coding How can engineers leverage AI to write better code—and think like architects to build systems that truly scale? In this episode, Brian Childress, a CTO and software architect with over 15 years of experience, shares hard-won lessons from teams using AI coding tools daily, and explains why the real challenge isn't just writing code—it's designing systems that scale with users, features, and teams. The Complexity Trap: When AI Multiplies Our Problems "Most engineering projects and software engineers themselves lean more towards complexity, and I find that that complexity really is multiplied when we bring in the power of AI and its ability to write just tons and tons and tons of code."   Brian has observed a troubling pattern: AI tools can generate deeply nested components with complex data flows that technically work but are nearly impossible to understand or maintain. When teams don't guide AI through architectural decisions, they end up with code that becomes "a little too complex for us to understand what is actually going on here." The speed at which AI produces code makes understanding the underlying problem even more critical—we can solve problems quickly, but we must ensure we're solving them the right way. In this segment, we mention our longer AI Assisted Coding podcast series. Check that out for further insights and different perspectives on how our software community is learning to make better use of AI Assisted Coding tools.  Vibe Coding Has Its Place—But Know Its Limits "Vibe coding is incredibly powerful for designers and product owners who want to prompt until they get something that really demonstrates what they're trying to do."   Brian sees value across the entire spectrum from vibe coding to architect-driven development. Vibe coding allows teams to move from wireframes and Figma prototypes to actual working code much faster, enabling quicker validation with real customers. The key distinction is knowing when to use each approach:   Vibe coding works well for rapid prototyping and testing whether something has value Architect thinking becomes essential when building production systems that need to scale and be maintained What Does "Thinking Like an Architect" Actually Mean? "When I'm thinking more like an architect, I'm thinking more around how bigger components, higher level components start to fit together."   The architect mindset shifts focus from "how do I work within a framework" to "what is the problem I'm really solving?" Brian emphasizes that technology is actually the easiest part of what engineers do—you can Google or AI your way to a solution. The harder work is ensuring that the solution addresses the real customer need. An architect asks: How can I simplify? How can I explain this to someone else, technical or non-technical? The better you can explain it, the better you understand it. AI as Your Thought Partner "What it really forces us to do is to be able to explain ourselves better. I find most software engineers will hide behind complexity because they don't understand the problem."   Brian uses AI as a collaborative thought partner rather than just a code generator. He explains the problem, shares his thought process, and then strategizes back and forth—looking for questions that challenge his thinking. This approach forces engineers to communicate clearly instead of hiding behind technical jargon. The AI becomes like having a colleague with an enormous corpus of knowledge who can see solutions you might never have encountered in your career. Simplicity Through Four Shapes "I basically use four shapes to be able to diagram anything, and if I can't do that, then we still have too much complexity. It's a square, a triangle, a circle, and a line."   When helping colleagues shift from code-writing to architect-thinking, Brian insists on dead simplicity. If you can diagram a system—from customer-facing problems down to code component breakdowns, data flow, and integrations—using only these four basic shapes, you've reached true understanding. This simplification creates that "light bulb moment" where engineers suddenly get it and can translate understanding into code while in flow state. Making AI Work Culturally: Leading by Example "For me as a leader, as a CTO, I need to show my team this is how I'm using it, this is where I'm messing up with it, showing that it's okay."   Brian addresses the cultural challenge head-on: mid-level and senior engineers often resist AI tools, fearing job displacement or having to support "AI slop." His approach is to frame AI as a new tool to learn—just like Google and Stack Overflow were in years past—rather than a threat. He openly shares his experiments, including failures, demonstrating that it's acceptable to laugh at garbage code while learning from how it was generated. The Guardrails That Make AI Safe "If we have all of that—the guardrails, the ability to test, automation—then AI just helps us to create the code in the right way, following our coding standards."   The same engineering practices that protect against human errors protect against AI mistakes: automated testing, deployment guardrails, coding standards, and code review. Brian sees an opportunity for AI to help teams finally accomplish what they've always wanted but never had time for—comprehensive documentation and thorough automated test suites. Looking Ahead: More Architects, More Experiments, More Failures "I'm going to see more engineers acting like architects, more engineers thinking in ways of how do I construct this system, how do I move data around, how do I scale."   Brian's 2-3 year prediction: engineers will increasingly think architecturally because AI removes the need to deeply understand framework nuances. We'll have more time for safeguards, automated testing, and documentation. But expect both sides of the spectrum to intensify—more engineers embracing AI tools, and more resistance and high-profile failures from CEOs vibe-coding production apps into security incidents. Resources for Learning Brian recommends staying current through YouTube channels focused on AI and developer tools. His top recommendations for developer-focused AI content:   IndyDevDan NetworkChuck AI Jason   His broader advice: experiment with everything, document what you learn as you go, and be willing to fail publicly. The engineers who thrive will be those actively experimenting and learning.   About Brian Childress   Brian Childress is a CTO and software architect with over 15 years of experience working across highly regulated industries including healthcare, finance, and consumer SaaS products. He brings a non-traditional background to technology leadership, having built his expertise through dedication and continuous learning rather than formal computer science education. Brian is passionate about helping engineers think architecturally and leverage AI tools effectively while maintaining simplicity in system design.   You can link with Brian Childress on LinkedIn.

Patrick McKenzie (patio11) is joined by Ruxandra Teslo to discuss why drug development keeps getting more expensive despite revolutionary new treatment modalities from GLP-1 agonists to gene therapies. They discuss Eroom's Law (Moore's Law in reverse) and Ruxandra's Common Technical Document Project, which aims to build the "Stack Overflow of clinical development" by making regulatory submissions publicly accessible. This will fill a present hole in the education of researchers, lower barriers for small biotechs, and accelerate drug discovery.–Full transcript available here: https://www.complexsystemspodcast.com/ruxandra-teslo/ –Sponsor: FramerBuilding and maintaining marketing websites shouldn't slow down your engineers. Framer gives design and marketing teams an all-in-one platform to ship landing pages, microsites, or full site redesigns instantly—without engineering bottlenecks. Get 30% off Framer Pro at framer.com/complexsystems.–Links:Eroom's Law (original paper): https://www.nature.com/articles/nrd3681Ruxandra's writing: https://www.writingruxandrabio.com/ Ross Rheingans-Yoo on drug development: https://open.spotify.com/episode/4GiO0KYqxJNCIdltCyhN6m?si=2znQniZ3RXKuX8keNcwWtw Ben Reinhardt on science and development: https://open.spotify.com/episode/0GHegWgLSubYxvATmbWhQu?si=pVCJVITYTqaq65BiST2d0Q–Timestamps:(00:00) Intro(00:56) Challenges in biopharma productivity(03:12) Understanding clinical development(04:59) The role of basic science in drug development(07:39) Clinical development process explained(09:25) Issues in clinical trials and development(19:33) The role of information in clinical trials(20:30) Sponsor: Framer(21:42) The role of information in clinical trials (continued)(32:55) Proposed solutions for clinical development(40:31) Consultant opinions and regulatory documents(41:28) Streamlining the regulatory process(43:06) Understanding FDA interactions(45:35) Building a public library of regulatory documents(48:18) Encouraging novel approaches in biotech(50:06) Addressing risk aversion in the industry(51:52) Analyzing FDA consistency and reviewer heterogeneity(01:02:15) The importance of courage in professional growth(01:06:39) Supporting young professionals and catalyzing change(01:16:14) Wrap

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techishThis week on Techish, Michael and Abadesi dive into Industry Season 4, breaking down the standout characters, what it means to be an ambitious outsider in a cutthroat world, and what the show reveals about the current political and corporate climate. They also unpack Netflix's big bet on video podcasts and what it could means for the future of podcasting. And for Patreon listeners they go deeper on tech, exploring how AI is rattling Tailwind CSS and Stack Overflow, what's really at stake, and whether these companies deserve any sympathy at all.Chapters00:20 Industry's Harper Stern: Ambition, Power, and Being an Outsider13:59 Why Netflix Is Betting Big on Video Podcasts20:13 AI Is Disrupting Developer Tools [Patreon-Only]This episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesIs corporate America going Maga? [Financial Times]Netflix Offers Podcasts To Compete With YouTube [Forbes]‘Not second screen enough': is Netflix deliberately dumbing down TV so people can watch while scrolling? [The Guardian]Tailwind lays off 75% of its 4-person engineering team, citing 'brutal impact AI has had on our business' [Business Insider, $]Support the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

Is Stack Overflow actually dying, and what does that mean in an AI-driven dev world? Scott and Wes break down the latest web dev news, from Firefox's AI crossroads and Apple's browser engine changes to new tools, docs, and spicy browser updates. Show Notes 00:00 Welcome to Syntax! 02:36 Stack Overflow is Officially Dead 05:40 AI's Impact on Software Development 07:56 Brought to you by Sentry.io 08:20 Micro QuickJS for Embedded Systems 13:03 Open Workers: A Cloudflare Alternative 20:09 React Aria has new Docs 24:12 Firefox and the AI Dilemma The Mozilla Announcement 31:11 Apple's Browser Engine Changes Using alternative browser engines in Japan. 36:12 Fractured JSON for Better Readability 37:45 New Chrome Permissions Dialogue Chrome Network Access 41:15 Sick Picks & Shameless Plugs Sick Picks Scott: TRMNL E-Ink Display Wes: ACEBOTT Shameless Plugs Scott: Syntax on YouTube Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Stack Overflow fue durante años el lugar donde todos los programadores aprendimos a resolver problemas reales. Hoy, su caída refleja un cambio profundo en cómo buscamos respuestas, aprendemos y escribimos código con la llegada de la IA. En este episodio hablamos de qué está pasando, por qué importa y qué riesgos y oportunidades trae este cambio para los desarrolladores.

A story about choosing what others avoid—and creating competitive advantage no one can copy.This episode is for sales-led SaaS founders wondering why their AI product investments are not creating the competitive edge they expected.Most SaaS companies race to add AI features and wonder why nothing changes.Tal Peretz, CEO of Onfire, took the opposite path. Before writing a single line of code, he interviewed 275 revenue leaders. Then he spent months building a proprietary data layer from the public web—Reddit, Stack Overflow, Discord—tracking 50 million engineers. Only after that foundation was solid did he add AI on top.The result: customers generating 4x more pipeline with the same headcount, $50 million in closed deals since beta launch, and a $20 million funding round.And this inspired me to invite Tal to my podcast. We explore how mastering curiosity—reading signals competitors ignore—creates competitive moats that compound over time. Tal shares how 275 customer interviews revealed one critical pattern everyone else missed, and why choosing the hardest buyers simplified everything else. You'll discover why he spent months building invisible infrastructure before writing features, and how that decision alone separated Onfire from hundreds of AI tools fighting for attention.We also zoom in on three of the 10 traits that define remarkable software companies:Master the art of curiosityAim to be different, not just betterSell the idea, not the productTal's journey proves that remarkable companies don't chase the obvious path—they build the hard thing first, creating advantages no competitor can copy.Here's one of Tal's quotes that captures his contrarian thesis:"AI basically makes sales much harder, not easier, because the noise-to-ratio right now goes up. When we started the company, we said the main advantage is to find the needle in the haystack in your context. Building what we call our Knowledge Graph—this is probably the main IP of the company."By listening to this episode, you'll learn:Why building infrastructure before features creates advantages competitors cannot replicateWhat customer discovery reveals when you interview hundreds before building anythingWhy focusing on the hardest segment often creates easier sales than targeting everyoneWhy adding intelligence to strong foundations beats bolting features onto weak dataFor more information about the guest from this week:Guest: Tal Peretz, Co-founder and CEO at Onfire Website: onfire.ai

Hype is really starting to build for Valve’s upcoming Steam hardware and other great gaming news, Stack Overflow is losing to LLMs, old men like Félim don’t want to lose middle click paste, our optimism about Google continuing to release Android source code was misplaced, and Bose demonstrates how to kill a product. News The Steam Machine’s Price Might Have Just Leaked And It’s Not What We Hoped For Canonical Builds Steam Snap For Ubuntu ARM64 Leveraging FEX Revised Steam Survey For December 2025 Puts Linux Gaming Marketshare At 3.58% GeForce NOW coming to Linux Stack Overflow graph GNOME dev gives fans of Linux’s middle-click paste the middle finger Google will now only release Android source code twice a year Bose open-sources its SoundTouch home theater smart speakers ahead of end-of-life Support us on patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Hype is really starting to build for Valve’s upcoming Steam hardware and other great gaming news, Stack Overflow is losing to LLMs, old men like Félim don’t want to lose middle click paste, our optimism about Google continuing to release Android source code was misplaced, and Bose demonstrates how to kill a product. News The Steam Machine’s Price Might Have Just Leaked And It’s Not What We Hoped For Canonical Builds Steam Snap For Ubuntu ARM64 Leveraging FEX Revised Steam Survey For December 2025 Puts Linux Gaming Marketshare At 3.58% GeForce NOW coming to Linux Stack Overflow graph GNOME dev gives fans of Linux’s middle-click paste the middle finger Google will now only release Android source code twice a year Bose open-sources its SoundTouch home theater smart speakers ahead of end-of-life Support us on patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Episode S12E09 avec Aurélien, Sébastien B., et Xavier.• (00:00:00) : • Baisse du nombre de questions sur StackOverflow (00:01:45) : Vers la fin des forums de Questions Réponses pour les devs suite à l'avancée des IA? (Sources : techzine.eu, 36kr.com et theverge.com) • Et si on faisait tourner Windows, sur Linux? (00:19:46) : Et Loss32 est né. (Sources : theregister.com et loss32.org) • Michelin acquiert 2 entreprises aux USA (00:27:41) : Michelin s'éloigne du pneu pour booster sa croissance. (Sources : lamontagne.fr et boursorama.com) • CES: Huyndai va équiper ses usines des robots Atlas (00:38:19) : Avec le robot Atlas de Boston Dynamics, le robot devient un acteur économique réel. (Sources : bostondynamics.com, numerama.com et 01net.com) • Peppol, un acronyme qui empêche la Belgique de dormir (00:52:21) : Simplification ou outil de contrôle? (Source : levif.be) • Rob Pike dit ses vérités à l'IA (01:13:18) : L'un des pionniers s'inquiète de l'avenir de l'informatique. (Source : developpez.com) Retrouvez toutes nos informations, liens, versions du podcast via notre site Abonnez-vous à notre infolettre afin d'être informé de notre veille technologique de la semaine et de la parution de nos épisodes

Apple announces that its going with Google's Gemini to power Siri later this year, and Google joins the $4T club on the news. Governments around the world are still mad at Grok. AI has essentially killed Stack Overflow but its making more money than it ever has. And how you get get AI to give you the full text of books. Apple picks Google's Gemini to run AI-powered Siri coming this year (CNBC) UK's Ofcom investigates X over Grok's sexualised AI images of women and children (FT) Anthropic expands into healthcare a week after OpenAI launched a similar product (Business Insider) Stack Overflow's forum is dead thanks to AI, but the company's still kicking... thanks to AI (Sherwood News) AI's Memorization Crisis (The Atlantic) Learn more about your ad choices. Visit megaphone.fm/adchoices

Topics covered in this episode: port-killer How we made Python's packaging library 3x faster CodSpeed Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features:

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 03/01 a 09/01.☕ Café Código FontePrograme sua xícara para o sabor certo!https://cafe.codigofonte.com.br

This week, we discuss AI's impact on Stack Overflow, Docker's Hardened Images, and Nvidia buying Groq. Plus, thoughts on playing your own game and having fun. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/LQSxLbjvz3c?si=ao8f3hwxlCrmH1vX) 554 (https://www.youtube.com/live/LQSxLbjvz3c?si=ao8f3hwxlCrmH1vX) Please complete the Software Defined Talk Listener Survey! (https://docs.google.com/forms/d/e/1FAIpQLSfl7eHWQJwu2tBLa-FjZqHG2nr6p_Z3zQI3Pp1EyNWQ8Fu-SA/viewform?usp=header) Runner-up Titles It's all brisket after that. Exploring Fun Should I go build a snow man? Pets Innersourcing Two books Michael Lewis should write. Article IV is foundational. Freedom is options. Rundown Stack Overflow is dead. (https://x.com/rohanpaul_ai/status/2008007012920209674?s=20) Hardened Images for Everyone (https://www.docker.com/blog/docker-hardened-images-for-every-developer/) Tanzu's Bitnami stuff does this too (https://blogs.vmware.com/tanzu/what-good-software-supply-chain-security-looks-like-for-highly-regulated-industries/). OpenAI OpenAI's New Fundraising Round Could Value Startup at as Much as $830 Billion (https://www.wsj.com/tech/ai/openais-new-fundraising-round-could-value-startup-at-a[…]4238&segment_id=212500&user_id=c5a514ba8b7d9a954711959a6031a3fa) OpenAI Reportedly Planning to Make ChatGPT "Prioritize" Advertisers in Conversation (https://futurism.com/artificial-intelligence/openai-chatgpt-sponsored-ads) OpenAI bets big on audio as Silicon Valley declares war on screens (https://techcrunch.com/2026/01/01/openai-bets-big-on-audio-as-silicon-valley-declares-war-on-screens/) Sam Altman says: He has zero percent interest in remaining OpenAI CEO, once (https://timesofindia.indiatimes.com/technology/tech-news/sam-altman-says-he-has-zero-percent-interest-remaining-openai-ceo-once-/articleshow/126350602.cms) Nvidia buying AI chip startup Groq's assets for about $20 billion in its largest deal on record (https://www.cnbc.com/2025/12/24/nvidia-buying-ai-chip-startup-groq-for-about-20-billion-biggest-deal.html) Relevant to your Interests Broadcom IT uses Tanzu Platform to host MCP Servers (https://news.broadcom.com/app-dev/broadcom-tanzu-platform-agentic-business-transformation). A Brief History Of The Spreadsheet (https://hackaday.com/2025/12/15/a-brief-history-of-the-spreadsheet/) Databricks is raising over $4 billion in Series L funding at a $134 billion (https://x.com/exec_sum/status/2000971604449485132?s=20) Amazon's big AGI reorg decoded by Corey Quinn (https://www.theregister.com/2025/12/17/jassy_taps_peter_desantis_to_run_agi/) “They burned millions but got nothing.” (https://automaton-media.com/en/news/japanese-game-font-services-aggressive-price-hike-could-be-result-of-parent-companys-alleged-ai-failu/) X sues to protect Twitter brand Musk has been trying to kill (https://www.theregister.com/2025/12/17/x_twitter_brand_lawsuit/) Mozilla's new CEO says AI is coming to Firefox, but will remain a choice | TechCrunch (https://techcrunch.com/2025/12/17/mozillas-new-ceo-says-ai-is-coming-to-firefox-but-will-remain-a-choice/) Why Oracle keeps sparking AI-bubble fears (https://www.axios.com/2025/12/18/ai-oracle-stock-blue-owl) What's next for Threads (https://sources.news/p/whats-next-for-threads) Salesforce Executives Say Trust in Large Language Models Has Declined (https://www.theinformation.com/articles/salesforce-executives-say-trust-generative-ai-declined?rc=giqjaz) Akamai Technologies Announces Acquisition of Function-as-a-Service Company Fermyon (https://www.akamai.com/newsroom/press-release/akamai-announces-acquisition-of-function-as-a-service-company-fermyon) Google Rolling Out Gmail Address Change Feature: Here Is How It Works (https://finance.yahoo.com/news/google-rolling-gmail-address-change-033112607.html) The Enshittifinancial Crisis (https://www.wheresyoured.at/the-enshittifinancial-crisis/) MongoBleed: Critical MongoDB Vulnerability CVE-2025-14847 | Wiz Blog (https://www.wiz.io/blog/mongobleed-cve-2025-14847-exploited-in-the-wild-mongodb) Softbank to buy data center firm DigitalBridge for $4 billion in AI push (https://www.cnbc.com/amp/2025/12/29/digitalbridge-shares-jump-on-report-softbank-in-talks-to-acquire-firm.html) The best tech announced at CES 2026 so far (https://www.theverge.com/tech/854159/ces-2026-best-tech-gadgets-smartphones-appliances-robots-tvs-ai-smart-home) Who's who at X, the deepfake porn site formerly known as Twitter (https://www.ft.com/content/ad94db4c-95a0-4c65-bd8d-3b43e1251091?accessToken=zwAGR7kzep9gkdOtlNtMlaBMZdO9jTtD4SUQkQ.MEYCIQCdZajuC9uga-d9b5Z1t0HI2BIcnkVoq98loextLRpCTgIhAPL3rW72aTHBNL_lS7s1ONpM2vBgNlBNHDBeGbHkPkZj&sharetype=gift&token=a7473827-0799-4064-9008-bf22b3c99711) Manus Joins Meta for Next Era of Innovation (https://manus.im/blog/manus-joins-meta-for-next-era-of-innovation) The WELL: State of the World 2026 with Bruce Sterling and Jon Lebkowsky (https://people.well.com/conf/inkwell.vue/topics/561/State-of-the-World-2026-with-Bru-page01.html) Virtual machines still run the world (https://cote.io/2026/01/07/virtual-machines-still-run-the.html) Databases in 2025: A Year in Review (https://www.cs.cmu.edu/~pavlo/blog/2026/01/2025-databases-retrospective.html) Chat Platform Discord Files Confidentially for IPO (https://www.bloomberg.com/news/articles/2026-01-06/chat-platform-discord-is-said-to-file-confidentially-for-ipo?embedded-checkout=true) The DRAM shortage explained: AI, rising prices, and what's next (https://www.techradar.com/pro/why-is-ram-so-expensive-right-now-its-more-complicated-than-you-think) Nonsense Palantir CEO buys monastery in Old Snowmass for $120 million (https://www.denverpost.com/2025/12/17/palantir-alex-karp-snowmass-monastery/amp/) H-E-B gives free groceries to all customers after registers glitch today in Burleson, Texas. (https://www.reddit.com/r/interestingasfuck/s/ZEcblg7atP) Conferences cfgmgmtcamp 2026 (https://cfgmgmtcamp.org/ghent2026/), February 2nd to 4th, Ghent, BE. Coté speaking - anyone interested in being a SDI guest? DevOpsDayLA at SCALE23x (https://www.socallinuxexpo.org/scale/23x), March 6th, Pasadena, CA Use code: DEVOP for 50% off. Devnexus 2026 (https://devnexus.com), March 4th to 6th, Atlanta, GA. Coté has a discount code, but he's not sure if he can give it out. He's asking! Send him a DM in the meantime. KubeCon EU, March 23rd to 26th, 2026 - Coté will be there on a media pass. Whole bunch of VMUGs, mostly in the US. The CFPs are open (https://app.sessionboard.com/submit/vmug-call-for-content-2026/ae1c7013-8b85-427c-9c21-7d35f8701bbe?utm_campaign=5766542-VMUG%20Voice&utm_medium=email&_hsenc=p2ANqtz-_YREN7dr6p3KSQPYkFSN5K85A-pIVYZ03ZhKZOV0O3t3h0XHdDHethhx5O8gBFguyT5mZ3n3q-ZnPKvjllFXYfWV3thg&_hsmi=393690000&utm_content=393685389&utm_source=hs_email), go speak at them! Coté speaking in Amsterdam. Amsterdam (March 17-19, 2026), Minneapolis (April 7-9, 2026), Toronto (May 12-14, 2026), Dallas (June 9-11, 2026), Orlando (October 20-22, 2026) 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: Why Data Doesn't Always Win, with a Philosopher of Art (https://podcasts.apple.com/us/podcast/the-points-you-shouldnt-score-a-new-years-resolution/id1685093486?i=1000743950053) (Apple Podcasts) Why Data Doesn't Always Win, with a Philosopher of Art (https://www.youtube.com/watch?v=7AdbePyGS2M&list=RD7AdbePyGS2M&start_radio=1) (YouTube) Coté: “Databases in 2025: A Year in Review.” (https://www.cs.cmu.edu/~pavlo/blog/2026/01/2025-databases-retrospective.html) Photo Credits Header (https://unsplash.com/photos/red-and-black-love-neon-light-signage-igJrA98cf4A)

Ben Schwan, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - CES 2026: Unsere Highlights und Erkenntnisse – Die Consumer Electronics Show in Las Vegas hat wieder neue Tech-Trends präsentiert. Was waren die spannendsten Produktankündigungen? Welche Technologien könnten 2026 wirklich relevant werden? Und was sagt die Messe über die Zukunft der Consumer-Elektronik aus? - Blackout in Berlin: Wem geht danach ein Licht auf? Ein Sabotageakt hat Teile der Stromversorgung Berlins lahmgelegt. Wie konnte es zu diesem Ausfall kommen? Was zeigt der Vorfall über die Robustheit unserer Stromnetze? Und welche Lehren müssen für die Energiewende gezogen werden? - KI-Schwund: Hat Stack Overflow noch eine Chance? Die Entwicklerplattform Stack Overflow kämpft mit Nutzerschwund und setzt nun auf KI-Funktionen. Warum wenden sich Entwickler von der Plattform ab? Können KI-Features Stack Overflow retten oder beschleunigen sie den Niedergang? Und was bedeutet das für die Zukunft von Entwickler-Communities? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

Ben Schwan, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - CES 2026: Unsere Highlights und Erkenntnisse – Die Consumer Electronics Show in Las Vegas hat wieder neue Tech-Trends präsentiert. Was waren die spannendsten Produktankündigungen? Welche Technologien könnten 2026 wirklich relevant werden? Und was sagt die Messe über die Zukunft der Consumer-Elektronik aus? - Blackout in Berlin: Wem geht danach ein Licht auf? Ein Sabotageakt hat Teile der Stromversorgung Berlins lahmgelegt. Wie konnte es zu diesem Ausfall kommen? Was zeigt der Vorfall über die Robustheit unserer Stromnetze? Und welche Lehren müssen für die Energiewende gezogen werden? - KI-Schwund: Hat Stack Overflow noch eine Chance? Die Entwicklerplattform Stack Overflow kämpft mit Nutzerschwund und setzt nun auf KI-Funktionen. Warum wenden sich Entwickler von der Plattform ab? Können KI-Features Stack Overflow retten oder beschleunigen sie den Niedergang? Und was bedeutet das für die Zukunft von Entwickler-Communities? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

This is a recap of the top 10 posts on Hacker News on January 03, 2026. This podcast was generated by wondercraft.ai (00:30): Trump says Venezuela's Maduro captured after strikesOriginal post: https://news.ycombinator.com/item?id=46473348&utm_source=wondercraft_ai(01:53): Total monthly number of StackOverflow questions over timeOriginal post: https://news.ycombinator.com/item?id=46482345&utm_source=wondercraft_ai(03:17): 2026 will be my year of the Linux desktopOriginal post: https://news.ycombinator.com/item?id=46471199&utm_source=wondercraft_ai(04:41): The Most Popular Blogs of Hacker News in 2025Original post: https://news.ycombinator.com/item?id=46478377&utm_source=wondercraft_ai(06:04): Report: Microsoft kills official way to activate Windows 11/10 without internetOriginal post: https://news.ycombinator.com/item?id=46480156&utm_source=wondercraft_ai(07:28): Microsoft kills official way to activate Windows 11/10 without internetOriginal post: https://news.ycombinator.com/item?id=46471081&utm_source=wondercraft_ai(08:52): The C3 Programming LanguageOriginal post: https://news.ycombinator.com/item?id=46478647&utm_source=wondercraft_ai(10:15): Explosions reported in Venezuelan capital CaracasOriginal post: https://news.ycombinator.com/item?id=46473623&utm_source=wondercraft_ai(11:39): Show HN: Website that plays the lottery every secondOriginal post: https://news.ycombinator.com/item?id=46471171&utm_source=wondercraft_ai(13:03): The suck is why we're hereOriginal post: https://news.ycombinator.com/item?id=46482877&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mike Bakon to explore the fascinating intersection of hardware hacking, blockchain technology, and decentralized systems. Their conversation spans from Mike's childhood fascination with taking apart electronics in 1980s Poland to his current work with ESP32 microcontrollers, LoRa mesh networks, and Cardano blockchain development. They discuss the technical differences between UTXO and account-based blockchains, the challenges of true decentralization versus hybrid systems, and how AI tools are changing the development landscape. Mike shares his vision for incentivizing mesh networks through blockchain technology and explains why he believes mass adoption of decentralized systems will come through abstraction rather than technical education. The discussion also touches on the potential for creating new internet infrastructure using ad hoc mesh networks and the importance of maintaining truly decentralized, permissionless systems in an increasingly surveilled world. You can find Mike in Twitter as @anothervariable.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Hardware and Early Experiences02:59 The Evolution of AI in Hardware Development05:56 Decentralization and Blockchain Technology09:02 Understanding UTXO vs Account-Based Blockchains11:59 Smart Contracts and Their Functionality14:58 The Importance of Decentralization in Blockchain17:59 The Process of Data Verification in Blockchain20:48 The Future of Blockchain and Its Applications34:38 Decentralization and Trustless Systems37:42 Mainstream Adoption of Blockchain39:58 The Role of Currency in Blockchain43:27 Interoperability vs Bridging in Blockchain47:27 Exploring Mesh Networks and LoRa Technology01:00:25 The Future of AI and DecentralizationKey Insights1. Hardware curiosity drives innovation from childhood - Mike's journey into hardware began as a child in 1980s Poland, where he would disassemble toys like battery-powered cars to understand how they worked. This natural curiosity about taking things apart and understanding their inner workings laid the foundation for his later expertise in microcontrollers like the ESP32 and his deep understanding of both hardware and software integration.2. AI as a research companion, not a replacement for coding - Mike uses AI and LLMs primarily as research tools and coding companions rather than letting them write entire applications. He finds them invaluable for getting quick answers to coding problems, analyzing Git repositories, and avoiding the need to search through Stack Overflow, but maintains anxiety when AI writes whole functions, preferring to understand and write his own code.3. Blockchain decentralization requires trustless consensus verification - The fundamental difference between blockchain databases and traditional databases lies in the consensus process that data must go through before being recorded. Unlike centralized systems where one entity controls data validation, blockchains require hundreds of nodes to verify each block through trustless consensus mechanisms, ensuring data integrity without relying on any single authority.4. UTXO vs account-based blockchains have fundamentally different architectures - Cardano uses an extended UTXO model (like Bitcoin but with smart contracts) where transactions consume existing UTXOs and create new ones, keeping the ledger lean. Ethereum uses account-based ledgers that store persistent state, leading to much larger data requirements over time and making it increasingly difficult for individuals to sync and maintain full nodes independently.5. True interoperability differs fundamentally from bridging - Real blockchain interoperability means being able to send assets directly between different blockchains (like sending ADA to a Bitcoin wallet) without intermediaries. This is possible between UTXO-based chains like Cardano and Bitcoin. Bridges, in contrast, require centralized entities to listen for transactions on one chain and trigger corresponding actions on another, introducing centralization risks.6. Mesh networks need economic incentives for sustainable infrastructure - While technologies like LoRa and Meshtastic enable impressive decentralized communication networks, the challenge lies in incentivizing people to maintain the hardware infrastructure. Mike sees potential in combining blockchain-based rewards (like earning ADA for running mesh network nodes) with existing decentralized communication protocols to create self-sustaining networks.7. Mass adoption comes through abstraction, not education - Rather than trying to educate everyone about blockchain technology, mass adoption will happen when developers can build applications on decentralized infrastructure that users interact with seamlessly, without needing to understand the underlying blockchain mechanics. Users should be able to benefit from decentralization through well-designed interfaces that abstract away the complexity of wallets, addresses, and consensus mechanisms.

Developer Relations wirkt von außen oft wie eine Bühne, ein Reisekoffer und ein paar Sticker am Messestand. Aber was, wenn genau diese Rolle der stärkste Hebel ist, um dein Produkt besser zu machen, deine Tech-Community ernsthaft aufzubauen und Entwickler:innen wirklich erfolgreich zu machen?In dieser Episode nehmen wir Developer Relations auseinander, ganz ohne Marketing-Buzzword-Bingo. Zu Gast ist Philipp Krenn, Head of Developer Relations bei Elastic. Philipp bringt nicht nur jahrelange DevRel-Praxis mit, sondern auch Community-DNA, von Viennadb-Meetups bis Papers We Love, plus Open-Source-Erfahrung rund um Google Summer of Code und das Elastic-Ökosystem.Wir klären, was DevRel eigentlich ist, wo die Grenze zu Developer Marketing verläuft und warum der wichtigste Unterschied oft die Zwei-Wege-Kommunikation ist: raus in die Community und zurück ins Produktteam. Wir sprechen über den Alltag von Developer Advocates, Konferenzen, Content, Community Support auf Discourse, Reddit, Stack Overflow und Slack und wie man Feedback so sammelt, dass es in Roadmaps landet. Dazu kommt die große Frage: Influencer oder nicht? Und warum der Personenkult für Firmen gefährlich werden kann.Außerdem geht es um Open Source, Meetups, Tech Community, Networking, KPIs ohne falsche Anreize, den DevRel-Hype-Zyklus rund um AI und welche Skills du brauchst, wenn du selbst in Developer Relations einsteigen willst.Am Ende weißt du nicht nur, ob DevRel zu dir passt, sondern auch, wie du als Entwickler:in DevRel wirklich nutzen kannst, ohne nur Socken mitzunehmen.Bonus: Wenn jemand mit Laptop und kaputter Query kommt, ist das für Philipp kein Problem, sondern der Wunschzustand.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

With modern development, we're almost never coding alone. Google, MDN, Stack Overflow, and now AI tools like ChatGPT, Copilot, and Gemini are always just a tab away. But what happens if that safety net disappears? In this edition of Web News, we explore the idea of offline programming - whether it's still realistic going into 2026, what skills it actually tests, and whether there's any real value in trying to code without constant internet access. Show Notes: https://www.htmlallthethings.com/podcast/the-art-of-offline-programming

Stack Overflow CEO Prashanth Chandrasekar was last on the show in 2022 — just one month before ChatGPT launched and upended literally everything for Stack Overflow in a deeply existential way.  He called a company emergency, reallocated about 10 percent of the staff to figure out solutions to the ChatGPT problem, and made some pretty huge decisions about structure and organization to navigate that change — all of it pure Decoder bait. Links:  2025 Developer Survey | Stack Overflow The people who make your apps go to Stack Overflow for answers | Decoder OpenAI, Stack Overflow partner to bring technical knowledge to ChatGPT | The Verge Stack Overflow feeds programmers' answers to AI whether they like it or not | The Verge Stack Overflow cuts 28 percent of its staff | TechCrunch AI-generated answers temporarily banned on Stack Overflow | The Verge Stack Overflow's strike is over, but problems persist | Jon Ericson A new era of Stack Overflow | Stack Overflow Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

After hitting a low point last year, developer job satisfaction is officially on the rise. Erin Yepis returns to the show to unpack the 2025 Stack Overflow Developer Survey, analyzing how autonomy and compensation are driving this recovery. We also cover the happiness gap between senior and junior engineers, the surprising drop in trust for AI tools, and why vibe coding is failing to catch on with professional engineers.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Read the full report: 2025 Stack Overflow Developer SurveyStack Overflow Blog: Read Erin's analysis and moreErin Yepis: Connect on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

AI Assisted Coding: Swimming in AI - Managing Tech Debt in the Age of AI-Assisted Coding In this special episode, Lou Franco, veteran software engineer and author of "Swimming in Tech Debt," shares his practical approach to AI-assisted coding that produces the same amount of tech debt as traditional development—by reading every line of code. He explains the critical difference between vibecoding and AI-assisted coding, why commit-by-commit thinking matters, and how to reinvest productivity gains into code quality. Vibecoding vs. AI-Assisted Coding: Reading Code Matters "I read all the code that it outputs, so I need smaller steps of changes."   Lou draws a clear distinction between vibecoding and his approach to AI-assisted coding. Vibecoding, in his definition, means not reading the code at all—just prompting, checking outputs, and prompting again. His method is fundamentally different: he reads every line of generated code before committing it. This isn't just about catching bugs; it's about maintaining architectural control and accountability. As Lou emphasizes, "A computer can't be held accountable, so a computer can never make decisions. A human always has to make decisions." This philosophy shapes his entire workflow—AI generates code quickly, but humans make the final call on what enters the repository. The distinction matters because it determines whether you're managing tech debt proactively or discovering it later when changes become difficult. The Moment of Shift: Staying in the Zone "It kept me in the zone. It saved so much time! Never having to look up what a function's arguments were... it just saved so much time."   Lou's AI coding journey began in late 2022 with GitHub Copilot's free trial. He bought a subscription immediately after the trial ended because of one transformative benefit: staying in the flow state. The autocomplete functionality eliminated constant context switching to documentation, Stack Overflow searches, and function signature lookups. This wasn't about replacing thinking—it was about removing friction from implementation. Lou could maintain focus on the problem he was solving rather than getting derailed by syntax details. This experience shaped his understanding that AI's value lies in removing obstacles to productivity, not in replacing the developer's judgment about architecture and design. Thinking in Commits: The Right Size for AI Work "I think of prompts commit-by-commit. That's the size of the work I'm trying to do in a prompt."   Lou's workflow centers on a simple principle: size your prompts to match what should be a single commit. This constraint provides multiple benefits. First, it keeps changes small enough to review thoroughly—if a commit is too big to review properly, the prompt was too ambitious. Second, it creates a clear commit history that tells a story about how the code evolved. Third, it enables easy rollback if something goes wrong. This commit-sized thinking mirrors good development practices that existed long before AI—small, focused changes that each accomplish one clear purpose. Lou uses inline prompting in Cursor (Command-K) for these localized changes because it keeps context tight: "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast." The Tech Debt Question: Same Code, Same Debt "Based on the way I've defined how I did it, it's exactly the same amount of tech debt that I would have done on my own... I'm faster and can make more code, but I invest some of that savings back into cleaning things up."   As the author of "Swimming in Tech Debt," Lou brings unique perspective to whether AI coding creates more technical debt. His answer: not if you're reading and reviewing everything. When you maintain the same quality standards—code review, architectural oversight, refactoring—you generate the same amount of debt as manual coding. The difference is speed. Lou gets productivity gains from AI, and he consciously reinvests a portion of those gains back into code quality through refactoring. This creates a virtuous cycle: faster development enables more time for cleanup, which maintains a codebase that's easier for both humans and AI to work with. The key insight is that tech debt isn't caused by AI—it's caused by skipping quality practices regardless of how code is generated. When Vibecoding Creates Debt: AI Resistance as a Symptom "When you start asking the AI to do things, and it can't do them, or it undoes other things while it's doing them... you're experiencing the tech debt a different way. You're trying to make changes that are on your roadmap, and you're getting resistance from making those changes."   Lou identifies a fascinating pattern: tech debt from vibecoding (without code review) manifests as "AI resistance"—difficulty getting AI to make the changes you want. Instead of compile errors or brittle tests signaling problems, you experience AI struggling to understand your codebase, undoing changes while making new ones, or producing code with repetition and tight coupling. These are classic tech debt symptoms, just detected differently. The debt accumulates through architecture violations, lack of separation of concerns, and code that's hard to modify. Lou's point is profound: whether you notice debt through test failures or through AI confusion, the underlying problem is the same—code that's difficult to change. The solution remains consistent: maintain quality practices including code review, even when AI makes generation fast. Can AI Fix Tech Debt? Yes, With Guidance "You should have some acceptance criteria on the code... guide the LLM as to the level of code quality you want."   Lou is optimistic but realistic about AI's ability to address existing tech debt. AI can definitely help with refactoring and adding tests—but only with human guidance on quality standards. You must specify what "good code" looks like: acceptance criteria, architectural patterns, quality thresholds. Sometimes copy/paste is faster than having AI regenerate code. Very convoluted codebases challenge both humans and AI, so some remediation should happen before bringing AI into the picture. The key is recognizing that AI amplifies your approach—if you have strong quality standards and communicate them clearly, AI accelerates improvement. If you lack quality standards, AI will generate code just as problematic as what already exists. Reinvesting Productivity Gains in Quality "I'm getting so much productivity out of it, that investing a little bit of that productivity back into refactoring is extremely good for another kind of productivity."   Lou describes a critical strategy: don't consume all productivity gains as increased feature velocity. Reinvest some acceleration back into code quality through refactoring. This mirrors the refactor step in test-driven development—after getting code working, clean it up before moving on. AI makes this more attractive because the productivity gains are substantial. If AI makes you 30% faster at implementation, using 10% of that gain on refactoring still leaves you 20% ahead while maintaining quality. Lou explicitly budgets this reinvestment, treating quality maintenance as a first-class activity rather than something that happens "when there's time." This discipline prevents the debt accumulation that makes future work progressively harder. The 100x Code Concern: Accountability Remains Human "Directionally, I think you're probably right... this thing is moving fast, we don't know. But I'm gonna always want to read it and approve it."   When discussing concerns about AI generating 100x more code (and potentially 100x more tech debt), Lou acknowledges the risk while maintaining his position: he'll always read and approve code before it enters the repository. This isn't about slowing down unnecessarily—it's about maintaining accountability. Humans must make the decisions because only humans can be held accountable for those decisions. Lou sees potential for AI to improve by training on repository evolution rather than just end-state code, learning from commit history how codebases develop. But regardless of AI improvements, the human review step remains essential. The goal isn't to eliminate human involvement; it's to shift human focus from typing to thinking, reviewing, and making architectural decisions. Practical Workflow: Inline Prompting and Small Changes "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast."   Lou's preferred tool is Cursor with inline prompting (Command-K), which allows him to work on specific code sections with tight context. This approach is fast because it limits what AI considers, reducing both latency and irrelevant changes. The workflow resembles pair programming: Lou knows what he wants, points AI at the specific location, AI generates the implementation, and Lou reviews before accepting. He also uses Claude Code for full codebase awareness when needed, but the inline approach dominates his daily work. The key principle is matching tool choice to context needs—use inline prompting for localized changes, full codebase tools when you need broader understanding. This thoughtful tool selection keeps development efficient while maintaining control. Resources and Community Lou recommends Steve Yegge's upcoming book on vibecoding. His website, LouFranco.com, provides additional resources.    About Lou Franco   Lou Franco is a veteran software engineer and author of Swimming in Tech Debt. With decades of experience at startups, as well as Trello, and Atlassian, he's seen both sides of debt—as coder and leader. Today, he advises teams on engineering practices, helping them turn messy codebases into momentum.   You can link with Lou Franco on LinkedIn and visit his website at LouFranco.com.

Wendell joins the show with a literal fire background (the “this is fine” meme), which he admits he can’t use anymore because of company backgrounds. But it’s an accurate representation of daily developer life, and we can all relate. Teaching PHP Six Months After Learning It At 16 years old, working in a small-town Brazilian school teaching Word and Excel, Wendell took a PHP course. Five or six months later, the teacher left and they asked Wendell to take over—teaching PHP to 13 and 14-year-olds when he was barely older himself. Students would ask questions he didn’t know the answer to, forcing him to say “give me a minute” while frantically searching the documentation. But that pressure? It taught him the most valuable developer skill: knowing how to find answers to things you don’t know. No Computer at Home Here’s the kicker: Wendell didn’t even have a computer at home during all this. He could only use the computers at work, so he’d finish lunch in 15 minutes just to get back to his desk and keep learning PHP. The obsession was real, and it paid off. PHP Documentation: The Unsung Hero Everyone agrees—PHP’s documentation is insanely good. You can find almost anything without even hitting Stack Overflow. Comments from 15-20 years ago still work today because PHP maintains backwards compatibility like no other language. Those old comments aren’t just relics; they’re still valid, working code that new developers can learn from. Try that in JavaScript land. Rector: The Migration Miracle Moving legacy code to modern PHP used to be a nightmare. Now? Install Rector and watch it automatically migrate your codebase to use new features. Wendell highlights this as one of PHP’s secret weapons—the community builds tools that make everyone’s life easier. When AI Becomes Part of Your Workflow some literally can’t work without Claude, Cursor, and PHPStorm anymore. Not because he needs AI for everything, but because the anxiety of “what if I need to ask something?” kicks in if it’s not there. It’s wild how quickly we adapt to new tools—especially considering 25 years ago we barely had IDEs. We had Notepad. If we were lucky. The Imposter Syndrome Reality Check Everyone Googles stuff. Every. Single. Person. It doesn’t matter how experienced you are or how many packages you’ve written—at some point, you’re searching for answers. The skill isn’t memorizing everything; it’s knowing where to look and how to find the right answer. Mike and Chris both admit they struggle with imposter syndrome constantly. You’re not alone. PHP Can Do Everything Now CLI apps? Easy. Web apps? Obviously. Desktop applications? Yep. Mobile applications with PHP? Absolutely—and Wendell admits he never thought that would be possible. With AI advancements and tools like the new official MCP SDK for PHP, the possibilities keep expanding. JavaScript might get there first, but PHP always catches up. New Security Challenges: Prompt Injection Frameworks already protect us from SQL injection and script injection. But now with MCP (Model Context Protocol) and AI integration, we have a new threat: prompt injection. How will PHP frameworks adapt? How do we secure AI-powered applications? These are the new challenges keeping the community on its toes. Teaser: Laravel Service Container Deep Dive Wendell drops a teaser—he’s publishing his longest blog post yet about how Laravel’s service container works. By the time this episode goes live, it’ll probably already be out. Worth the read. Listen to hear why the PHP community attracts experts from other languages, and why everyone keeps confusing their show schedule with the video game Fortnite. Links From The Show: Wendell’s blog: https://wendelladriel.com/blog Inside The Service Container: https://wendelladriel.com/blog/inside-the-laravel-service-container Laravel Queues Under The Hood: https://wendelladriel.com/blog/laravel-queues-under-the-hood Laravel Actions As A Service: https://wendelladriel.com/blog/laravel-aaas-actions-as-a-service Best Practices For Laravel Applications: https://wendelladriel.com/best-practices-for-laravel-enterprise-applications PHP Architect Social Media: X: https://x.com/phparch Mastodon: https://phparch.social/@phparch Bluesky: https://bsky.app/profile/phparch.com Discord: https://discord.phparch.com Subscribe to our magazine: https://www.phparch.com/subscribe/ Streams: Youtube Channel Twitch Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore Honeybadger.io Honeybadger helps you deploy with confidence and be your team's DevOps hero by combining error, uptime, and performance monitoring in one simple platform. Check it out at honeybadger.io Music Provided by Epidemic Sound https://www.epidemicsound.com/ The post PHP Alive And Kicking – Episode 16 – Wendell Adriel appeared first on PHP Architect.

The company is now supplying structured technical answers for training. Its moderation history is being used as a quality benchmark. Experts say this gives them leverage in the AI ecosystem.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Stack Overflow's new AI plans cater to small developers and large enterprises alike. Users report smoother access and faster query results. Experts predict rapid adoption in the tech community.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Companies can buy tailored engineering datasets. The platform is customizing content by domain. Revenue diversification is the goal.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The service gives companies direct access to curated material. It accelerates model tuning. Interest has already surged.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Executives say the pivot is essential for growth. New tools support enterprise customers. The plan is bold but promising.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The site is leaning fully into data licensing deals. Leaders believe their curated content is uniquely valuable. Critics worry this changes the culture of the platform.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we break down Stack Overflow's strategic shift from a Q&A platform to a major supplier of training data for AI systems. We explore why the company is repositioning itself and what this means for developers and the future of community-generated knowledge.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Zap's Fuze-3 device has been firing pulses of plasma at the company's headquarters in Seattle, and the results of those experiments will ultimately inform the design of the company's future demonstration plants. The Fuze-3 device was able to compress a soup of charged particles to more than two hundred thirty two thousand PSI and heat it to more than 21 million degrees Fahrenheit. Also, Stack Overflow wants to remake its classic problem-solving forum into a tool for translating human expertise into an AI-accessible format. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Conor and Bryce record live from C++ Under the Sea! We interview Ray and Paul from NVIDIA, talk about Parrot, scans and more!Link to Episode 260 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterAbout the Guests:Ray is a Senior Systems Software Engineer at NVIDIA since 2022. Studied Software Engineering at the University of Amsterdam. Founded the Dutch C++ Meetup in 2013 and co-organizes C++ Under the Sea since 2023. He has been programming for more than 25 years, his journey began on his father's Panasonic CF-2700 MSX--and has been hooked ever since. He is also 'the listener' of ADSP the podcast.Paul Grosse-Bley was first introduced to parallel programming with C+MPI at a student exchange to Umeå (Sweden) in 2017 while studying Physics. In the following years he learned more about MPI, OpenMP, OpenACC, Thrust/parSTL and CUDA C++. After finishing his Master's degree in Physics at Heidelberg University (Germany) in 2021, he became a PhD candidate in Computational Science and Engineering researching the acceleration of iterative solvers in sparse linear algebra while being head-tutor for a course on GPU Algorithm Design. He learned using Thrust in 2019 shortly before learning C++ and became enamored with parallel algorithms which led to numerous answers on StackOverflow, contributions on GitHub, his NVIDIA internship in the summer of 2025 and full position starting in February of 2026.Show NotesDate Recorded: 2025-10-10Date Released: 2025-11-14NVIDIA BCM (Base Command Manager)C++11 std::ignoreC++20 std::bind_frontParrotParrot on GitHubParrot Youtube Video: 1 Problem, 7 Libraries (on the GPU)thrust::inclusive_scanSingle-pass Parallel Prefix Scan with Decoupled Look-back by Duane Merrill & Michael GarlandPrefix Sums and Their Applications by Guy BlellochParallel Prefix Sum (Scan) with CUDANVIDIA ON-Demand VideosA Faster Radix Sort ImplementationIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library

The Stack Overflow Developer Survey is an annual survey conducted by Stack Overflow that gathers comprehensive insights from developers around the world. It offers a valuable snapshot of the global developer community, covering a wide range of topics such as preferred programming languages, tools, and technologies. Jody Bailey is the Chief Product and Technology Officer The post The 2025 Stack Overflow Developer Survey with Jody Bailey and Erin Yepis appeared first on Software Engineering Daily.

Does generative AI level the playing field between a junior and an experienced developer? Or does experience matter more than ever? To get a real-world perspective, we sat down with two Nashville Software School (NSS) graduates now working together at Purity Health: Ripal Patel, an alum of Web Development Evening Cohort 8 and developer with five years of experience, and Drew Goodman, a 2024 graduate from Web Development Cohort 70. They share their perspectives on climbing the agentic AI learning curve, from their initial fears about AI to how it's already changing their daily workflows 02:08 - Meet Ripal: From Healthcare to Software Development 05:18 - Ripal's Initial Hesitation About AI 08:02 - Meet Drew: From Finance to a New Career in Tech 09:41 - Drew's Experience in a Slower Job Market 14:46 - Ripal's View: Did Experience Help in the AI Class? 18:10 - Drew's View: AI, Experience, and the Power to 'Screw Things Up' 19:37 - Aha Moment: 'It's Not Gonna Take My Job' 22:09 - How AI Changes the Developer Workflow: More Time Reviewing 23:41 - How AI Helps Junior Devs: More Time for System-Level Learning 26:09 - Key Mental Skill for AI: Breaking Down Big Tasks 30:33 - How is AI Different from Stack Overflow for Learning? 33:35 - Using AI to Learn a New Tech Stack on the Fly 36:04 - Workflow Breakdown: Agentic Mode vs. Ask Mode 40:29 - Using Guardrails and Instructions to Keep AI Consistent 44:53 - The NSS Mindset: 'Learning How to Learn' 46:41 - Advice for Experienced, Hesitant Developers 47:38 - Advice for Junior Developers Using AI 49:41 - Recommended Resources 52:07 - Tech Guilty Pleasures LINKS: Purity Health: https://www.purity-health.com/ Nashville Software School: https://nashvillesoftwareschool.com Should Startups Hire Junior Developers in the Age of AI? | Stories From The Hackery with David Andrews and Fletcher Watson of Purity Health: https://learn.nashvillesoftwareschool.com/blog/2025/10/29/should-startups-hire-junior-developers-in-the-age-of-ai-stories-from-the-hackery Agentic AI Tools GitHub Copilot: https://github.com/features/copilot Cursor: https://cursor.com Anthropic's Claude: https://www.anthropic.com/claude Community & Learning Resources Nashville Data Nerds: https://www.meetup.com/data-nerds/ FreeCodeCamp: https://www.freecodecamp.org/ Udemy: https://www.udemy.com/ Stack Overflow: https://stackoverflow.com/

The Stack Overflow Developer Survey is an annual survey conducted by Stack Overflow that gathers comprehensive insights from developers around the world. It offers a valuable snapshot of the global developer community, covering a wide range of topics such as preferred programming languages, tools, and technologies. Jody Bailey is the Chief Product and Technology Officer The post The 2025 Stack Overflow Developer Survey with Jody Bailey and Erin Yepis appeared first on Software Engineering Daily.

When you use ChatGPT instead of Google, you're not just getting a faster answer—you're cutting out the content creators who made that knowledge possible. In this week's episode, we explore the economics of AI search, the death of Stack Overflow, the junior developer problem writ large, and why capitalism keeps pushing moral responsibility onto individuals who have the least power to change anything.Follow the show and be sure to join the discussion on Discord! Our website is workingcode.dev and we're @workingcode.dev on Bluesky. New episodes drop weekly on Wednesday.And, if you're feeling the love, support us on Patreon.With audio editing and engineering by ZCross Media.Full show notes and transcript here.

BlueRock is building an agentic security fabric to protect organizations deploying AI agents and MCP workflows. With a $25 Million Series A, founder Bob Tinker is tackling what he sees as a 10x larger opportunity than mobile's enterprise disruption. Bob previously scaled MobileIron from zero to $150 million in five years and took it public in 2014. In this episode of Category Visionaries, Bob shares the strategic mistakes that cost MobileIron its category positioning, why go-to-market fit is the missing framework between PMF and scale, and how B2B marketing has fundamentally transformed in just 18 months. Topics Discussed: Taking a company public: the killer marketing event versus the unexpected team psychology challenges of daily stock volatility Why agentic AI workflows create unprecedented security challenges at the action and data layer, not just prompts The strategic timing of category definition: MobileIron's cautionary tale of letting Gartner define you as "MDM" when customers bought for security Where enterprise buyers actually get advice now that Gartner's influence has diminished AEO (Answer Engine Optimization) replacing SEO as the primary discovery mechanism for B2B solutions Why 1.0 categories have fundamentally unclear ICPs versus 2.0/3.0 products with crisp buyer personas The "high urgency, low friction" framework for prioritizing what to build in nascent markets Go-to-market fit: the repeatable growth recipe that unlocks scaling post-PMF Unlearning as competitive advantage for second-time founders GTM Lessons For B2B Founders: Time your category noun definition strategically: MobileIron focused exclusively on solving the problem (the verb) but waited too long to influence category nomenclature. Gartner labeled it "Mobile Device Management" when customer purchase drivers were security-focused, not management. This misalignment constrained positioning for years with no way to correct it. The framework: lead with verb, but proactively shape the noun before external analysts do it for you. Bob's doing this differently at BlueRock by distinguishing "agentic action security" from "prompt security" early, even while the broader market sorts out AI security taxonomy. Use customer language as category discovery, not invention: Bob's breakthrough on BlueRock positioning came from asking prospects: "How would you describe what we do to your peers?" One prospect distinguished their focus on "the action side - taking AI and taking action on data and tools" versus prompt inspection and AI firewalls. This customer-generated framing revealed the natural fault lines in how practitioners think about the problem space. The tactical application: run this exact question with your first 10-15 qualified prospects and pattern-match their language, rather than workshopping category names internally. Engineer for the "high urgency, low friction" intersection: Bob's filtering criteria for BlueRock's roadmap requires both dimensions simultaneously. When a prospect revealed they were building their own MCP security tools - a signal of acute, unmet pain - they also asked BlueRock to add prompt security features. Bob's framework forced a "no" despite clear demand because it would violate low friction. The discipline: if a feature request fails either test (not urgent enough OR too much friction), it doesn't make the cut, even when prospects explicitly ask for it. Accept ICP ambiguity as a feature, not bug, of 1.0 markets: In 2.0/3.0 categories, you can target "VP of Detection & Response" with precision. In 1.0 markets like agentic security, Bob finds buyers across three distinct orgs: agentic development teams building secure-by-default systems, product security teams inside engineering (not under the CISO), and traditional security organizations. His thesis: this lack of crisp ICP definition is actually a reliable signal you're in a genuinely new market. The response: invest in community engagement across all three buyer types rather than forcing premature segmentation. Shift content strategy from SEO to AEO immediately: Bob identifies the clock speed of marketing change as "breathtaking" - what worked 18 months ago is obsolete. The specific shift: ranking above the fold in Google search is now irrelevant. What matters is appearing in the answer box that ChatGPT or Google Gemini surfaces above traditional results. This isn't incremental SEO optimization - it requires fundamentally restructuring content to feed LLM context windows and answer engines rather than keyword-optimizing for traditional search crawlers. Treat go-to-market fit as a distinct inflection point: Bob observed a consistent pattern across MobileIron, Box (Aaron Levie), Citrix (Mark Templeton), Palo Alto Networks (Mark McLaughlin), and SendGrid (Sameer Dholakia) - all hit PMF, hired salespeople aggressively, burned cash, and stalled growth while boards grew frustrated. The missing concept: PMF proves you can create value; GTM fit proves you can capture it repeatedly. It's the "repeatable growth recipe to find and win customers over and over again." The tactical implication: after PMF, resist pressure to scale headcount and instead obsess over making your first 3-5 sales cycles systematically repeatable before hiring your second AE. Build community as primary discovery in fragmented buyer markets: Bob's most different GTM motion versus five years ago: "We're just out talking to prospects and customers - individual reach outs, hitting people up on LinkedIn, posting in discussion boards, engaging with the community." This isn't supplemental to demand gen; it's replaced traditional top-of-funnel. When prospects exist across multiple personas without clear titles, community presence in Reddit, Stack Overflow, and LinkedIn becomes the only scalable discovery mechanism. The benchmark: successful new tech companies have built communities of early users before they've built repeatable sales motions. Practice systematic unlearning as second-time founder discipline: Bob's most personal insight: "What really got in my way wasn't what I needed to learn. It was what I needed to unlearn." The specific application: he's questioning his entire MobileIron marketing playbook because "blindly applying that eight-year-old playbook to marketing or sales will end in tears." His framework: periodic gut checks asking "What assumptions am I making? How should I think about this differently?" rather than letting inertia drive execution. The meta-lesson: success creates muscle memory that becomes liability without deliberate examination. Second-time founders should actively audit which reflexes to preserve versus discard. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Lena Ghamrawi, Sr. Privacy Counsel and Data Protection Officer at Stack Overflow, is the founder of The Privacy Coach, where she provides career coaching services to help folks pave their privacy path. In this episode, Ghamrawi joins host Taylor Fox to discuss consumer perspectives on privacy. For more about Lena, visit https://lenaghamrawi.com. • For more on cybersecurity, visit us at https://cybersecurityventures.com

Guy Zerega led sales and marketing at Stack Overflow, where he once hired me.Now he leads sales at Cyborg - they offer end-to-end encrypted inference data. This is a 101 on what matters in sales; especially to developers.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs.Links:    • Guy's Linkedin   • Guy's new startup, Cyborg 

Hello nerds.When I first started interviewing Scott Santens years ago during the Nerds for Yang era, he was one of the most relentless and articulate advocates for universal basic income (UBI) in America. Back then, it felt like the country was on the verge of something big. Andrew Yang was on the debate stage making “Freedom Dividend” a household phrase. Silicon Valley technologists were whispering about automation in the same breath as moral responsibility. Even Republican voters were entertaining the idea that direct cash transfers might be less bureaucratic and more empowering than sprawling social programs.Fast forward to 2025, and the conversation feels quieter. The pandemic-era stimulus checks are long gone. Washington has reverted to tribal warfare. Meanwhile, AI is advancing faster than anyone—maybe even Scott and Andrew —predicted. The irony is thick: the very forces that made UBI seem like a radical idea a decade ago are now transforming entire industries before our eyes. And yet, the movement feels stuck in neutral.So when Scott rejoined me on Nerds for Humanity this month from his new base in Washington, D.C., I wanted to know: What happened? Why did UBI lose its moment? And is there a realistic path back to the mainstream before millions of Americans get left behind?The Move to D.C. and the Lost MomentScott began by explaining why he left New Orleans for D.C. a few years ago. “It just seemed that UBI was really a bigger part of the conversation,” he said. “I thought if the Democrats came in again in 2024, I could actually get some traction.”He laughs a little when he says that now. “That didn't end up happening,” he admitted, reflecting on how the Biden reelection froze the kind of idea competition that defined 2020. “The big problem was that Biden decided to run again, and there was no primary process. Then suddenly Kamala comes in and still no primary process. So there was no ideas competition. We really missed out on that.”That lack of competition, Scott argues, has a ripple effect. Political movements thrive on moments of contrast, when new ideas bump up against old dogmas and voters are forced to re-evaluate assumptions. The 2020 race—with Yang, Sanders, Warren, and others pitching structural reforms—was one of those rare idea-rich moments. 2024, by comparison, was a desert.As Scott put it bluntly: “We were close enough to taste it during the pandemic. It really felt like we were actually on the cusp of doing a monthly cash payment that could change things. But none of that happened.”He's not wrong. The COVID checks were, in effect, a large-scale experiment in direct income support. Poverty temporarily plummeted. Families caught their breath. Consumer demand stayed strong. And then we let it all expire.AI Ate the Jobs While America SleptWhat's striking about this quiet period, as I noted to Scott, is that the threat he and Yang warned about—the automation of work—is no longer hypothetical. Knowledge worker jobs are being eaten by AI faster than policy debates can catch up.“I'm a parent of two teenagers,” I told him. “Other parents are starting to wonder if a computer science degree is still the golden ticket. Should we be preparing our kids to be plumbers instead?”Scott nodded grimly. “It's disheartening,” he said. “Now that these impacts are here… this is the stuff that we've been warning about. It's not a sudden thing, but it does seem to already be impacting the entry-level job market.”He pointed to a convergence of pressures: corporate hiring freezes driven by uncertainty around tariffs, companies experimenting with AI productivity tools, and executives under shareholder pressure to “do more with less.” The result: stagnating headcount even in high-growth sectors.“We don't really need people that we likely would have if AI had not been introduced,” he said. I observed from Silicon Valley, “What we're seeing right now is that companies can grow revenue while keeping headcount flat.”It's not a collapse. It's a quiet deceleration—a slow bleed. And that's arguably more dangerous because it doesn't provoke a policy response. There's no headline-grabbing “AI layoffs.” Just the invisible absence of opportunities for millions of new grads.Even top business schools are struggling to place students. “It's like the hardest market in years,” Scott said, and I agreed. “If we hit a recession,” he warned, “that's when all these businesses really lean into productivity. The recession ends, and they realize they don't need those people back.”That scenario—automation accelerated by economic downturn—is the nightmare UBI advocates have been predicting for over a decade. Each downturn becomes a ratchet that permanently eliminates another layer of middle-class work.The Automation MirageWhen politicians talk about “bringing manufacturing jobs back,” Scott and I get visibly frustrated. “I don't think people realize—you don't need that many people in those factories anymore,” I said.He reminded me of a chart he once published showing that U.S. manufacturing output is higher than ever, even though manufacturing employment has fallen dramatically. “We're manufacturing more than ever, we just have fewer jobs,” he said. “If we did reshoring, sure, we could manufacture even more, but jobs would continue going down.”I brought up a U.S. tech investor who recently toured Chinese EV plants. “He said the number of BYD employees per car is something like a fifth of what it is for Ford or GM,” I told Scott. “If we build plants here, we're not going to hire 20 people per car—we'll hire four or five.”Scott didn't hesitate: “Exactly. The only way to bring it back is to minimize labor. American labor is expensive. You can't both re-shore and keep the same job intensity.”Then he pivoted to a deeper critique of political dishonesty. “Trump sold a lot of people false hope,” he said. “He told them, ‘Once I negotiate these trade deals, everything's gonna be back to post–World War II full employment.' But that's a lie. We've heard that lie over and over again, even from people in the AI world. They say this will create more jobs than it displaces. Come on. We all know the realities.”This is the paradox of modern capitalism: productivity growth has decoupled from employment growth. We make more stuff with fewer people. And our political imagination hasn't caught up to that new reality.From Careers to Gigs: The New NormalScott traced this shift back decades. “We know what happened when we displaced people from manufacturing jobs—they went lower down the ladder into lower-paying work,” he said. “You went from careers to gig labor.”He rattled off examples that have become painfully familiar: “People now earn extra money by signing up for Uber, delivering food, DoorDashing. There's just a transformation of what employment even means.”In Scott's view, the only logical response to this is UBI. “You need to make sure everyone actually gets basic income,” he said. “That helps feed demand for new jobs. If people's incomes fall as a result of AI, demand falls. And when demand falls, the entire economy reorients.”He pointed to a staggering statistic: “Right now, the top 10% are buying half of everything produced and sold in the U.S. It's a very unequal consumption economy. The markets start ignoring the basic needs of people and reorient around luxury experiences.”That imbalance, he argued, isn't just economic—it's political. “It leads to people getting violent. It's key to the erosion of democracy.”The Coming Middle-Class AwakeningIf there's any silver lining, I said, it's that the pain is spreading up the income ladder.“I think it's going to affect a lot of middle-class and upper-middle-class people in a way it hasn't before,” I said. “When Andrew talked about truck drivers losing jobs, people thought, ‘My kid's going to college, they'll be fine.' Now they're realizing maybe not.”Scott agreed. “We just didn't realize how fast it would hit arts, music, images, and photos. I didn't think about that. It took me by surprise.”I added, “When he said doctors and lawyers, it felt far away. Now you're like—oh s**t—that's happening right now.”He laughed and I added more examples. “People are winning court cases using ChatGPT as their attorney. And with tools like Sora and Grok Imagine, you can generate realistic videos and images instantly. There's no ground truth anymore.”That last point hits hard. “You just give people a reason to doubt it,” Scott said. “You can have fake security cam footage of Sam Altman stealing something, and people will believe it. Or you can have real footage of Trump doing something, and people won't.”When truth itself becomes negotiable, democracy can't function. Evidence is the oxygen of public accountability. Once it's gone, all we have left are teams—and team loyalty.The Tariff FantasyThat team loyalty came up again when I told Scott about a debate I'd had with a MAGA relative in Florida. My brother argued that Trump's tariffs would pay for his tax cuts. Scott immediately laughed. “Even assuming that were true—which it's not—you're still taxing the working and middle class to pay for tax cuts for the rich,” he said.He broke it down simply: “It doesn't make any sense to say, ‘Tariff revenue will cover it.' Who covers the tariff revenue? It's the consumers. And yet people believe it.”Scott sees this as part of the broader epistemic collapse—people believing “whatever their team is saying,” no matter how illogical. “It's impressive in some ways,” I said. “You can propose policies that hurt your base and they'll cheer you for it.” He nodded. “Yeah. It's really frustrating.”UBI Research: Misunderstood and MisreportedI asked Scott about recent UBI research that some media outlets described as “disappointing.” His response was both sharp and nuanced.“Those weren't negative results,” he said. “They were null results.” He walked me through three often-cited studies: Baby's First Years, the Denver Homeless Pilot, and Sam Altman's Worldcoin/Overture experiment.“The key is to understand what's being tested,” he explained. “These weren't saturation pilots. They gave money to small groups of individuals. But real universal basic income changes communities. It creates new demand, new jobs, new dynamics.”He contrasted these with the Alaska Permanent Fund, which distributes oil dividends to every state resident annually. “In Alaska, we saw an overall increase in employment due to the dividend,” he said. “Some people worked less, but the spending created new jobs.”That's the essence of his argument: if you only study individuals, you miss the macro effects.He was especially skeptical of the way media covered the Baby's First Years study, which found no measurable difference in children's brain development after four years of $333 monthly payments. “That's a null result, not a failure,” Scott said. “It doesn't mean UBI doesn't work. It just means we didn't see differences yet. Impacts often show up later in life.”He also noted that measuring brain development via EEG scans is an odd and narrow metric. “Maybe families were happier. Maybe they bought what they needed. That still matters.”The Secret Study and New FrontiersScott hinted that a major new study is underway. “There's a study I can't talk about,” he said, smiling, “but it's looking at something no other experiment has looked at. I'm excited for those results.”He also mentioned Jeff Atwood (co-founder of Stack Overflow) is funding a $50 million set of county-level pilots, focusing on rural areas. “That's exciting,” Scott said. “It's a different political slice, and it's potentially saturation-like.”Globally, he's watching Thailand closely. “They announced they were going to do a negative income tax starting in 2027,” he said. “If that happens, they'd be the first country in the world to have a basic income guarantee. It could reduce poverty by over 90%.”Then he sighed. “But the day after they announced it, their prime minister got fired. So who knows.”ITSA Foundation: Building UBI From the Ground UpScott's not just theorizing anymore. His ITSA Foundation is taking action with two ambitious projects launching next year.First, the Bootstraps documentary series, which follows families receiving a basic income to humanize the policy through storytelling. “Storytelling is key,” he said. “People need to feel it, not just read data.”Second, the Comingle app, which will create what he calls “a small basic income floor of around $50 per week without waiting for government.”“You can create it yourself, through community pooling,” he said. “If Bill Gates joined Comingle and put 7% of his income in, everyone's income would go up. Don't worry about him getting $50 a week—everyone benefits.”It's the kind of practical experimentation the movement needs: bottom-up systems proving that shared prosperity can be engineered today, not someday.Reflections: The Hard Politics of Intelligent ReformAfter the interview ended, I stayed live on the stream to share a few personal reflections—some of them, frankly, tinged with frustration.I told my audience that I'm a believer in two three-letter acronyms: UBI and RCV (ranked choice voting). I have conviction that both are essential for a healthier democracy and a fairer economy. Yet it's maddening how little traction they get compared to what dominates our discourse.This morning, I argued politics with another MAGA acquaintance on WhatsApp. He was fired up about “the trans agenda” and “illegals.” When I asked what he thought about RCV or UBI, he admitted he didn't know what they were.And that, I said, is the tragedy. Many voters are animated by cultural wedge issues that barely affect their lives, while transformative structural reforms barely register. People will march for hours over trans athletes, but not over gerrymandering, open primaries, or the collapse of middle-class livelihoods.Maybe that's why Scott is investing in storytelling. “You have to boil this down into a bumper sticker,” I said. “Or a story.” Policy briefs won't cut through a media ecosystem optimized for outrage.It's sobering to realize how little energy we allocate to existential issues—like the sustainability of democracy or the viability of a middle-class life in an AI-driven economy—compared to the performative culture wars that dominate cable news.A Political System Addicted to DistractionI sometimes wonder if America is capable of solving long-term problems anymore. We have the tools and the talent, but not the attention span.We obsess over symbolic fights while the foundations rot. Closed primaries keep extremists in power. Gerrymandered districts ensure incumbents never lose. The electoral incentives all point toward division, not solutions.UBI and RCV are, in many ways, tests of whether we can think systemically again—about incentives, about fairness, about the structural forces shaping our future. And right now, the answer seems to be: not yet.As I told my audience, “It's sad that people will march for red-meat issues where government isn't even the decisive actor, while ignoring how broken the system itself has become.”The AI asteroid is heading straight for us. Millions of jobs—white-collar jobs—are on the chopping block. And neither party is talking seriously about it. Not Trump, not Schumer, not Newsom. Maybe Andrew Yang. Maybe Buttigieg. Maybe Bernie. But as a national conversation? Crickets.What's Next: Awakening or DenialMy optimism, if you can call it that, lies in inevitability. The pain will broaden until reform becomes unavoidable. Middle-class professionals will begin to experience the same precarity that working-class Americans have faced for decades.The good news is that when comfortable people get uncomfortable, politics shifts. The bad news is that it often takes crisis to get there.UBI isn't charity. It's infrastructure for an economy that no longer guarantees stability through employment. It's the plumbing of a post-industrial democracy.Scott put it best when he said: “You have to make sure everyone actually gets basic income so you have that cash. That can feed demand for new jobs. Without it, demand falls, inequality grows, and democracy erodes.”A Call to the NerdsAs we wrapped, I asked Scott how people could stay involved. “Sign up at ItsaFoundation.org,” he said. “Subscribe to the newsletter. Next year we'll have the Bootstraps docu-series, the Comingle app, and events across the country to organize communities.”I told him I'd be cheering him on. Because, frankly, the next five years are going to test whether America is still capable of rational self-government—or if we've outsourced that too.If you've made it this far into this post, you're probably one of the few people left who actually cares about data, ideas, and structural reform. You're a nerd. And that's a good thing.But as I told my audience at the end of the livestream: being a nerd isn't enough. We need to organize, support, and amplify. If we don't, the algorithms will drown out the quiet voices of reason.So if you value this kind of long-form conversation—the kind you won't find on cable news—please consider becoming a Nerds for Humanity YouTube channel member. Memberships help cover the operating costs of the livestream and keep these discussions going. Members also get shout-outs on every show as a thank-you for keeping independent, data-driven political analysis alive.And if you can't join as a member, the next best thing you can do is like, share, and comment. That helps the algorithm surface this content to others who might just be waking up to the same questions we've been asking for years.Bye nerds. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit nerdsforhumanity.substack.com

Lena Ghamrawi, Sr. Privacy Counsel and Data Protection Officer at Stack Overflow, is the founder of The Privacy Coach, where she provides career coaching services to help folks pave their privacy path. In this episode, Ghamrawi joins host Taylor Fox to discuss what goes into managing a privacy program at organizations of all types and sizes. For more about Lena, visit https://lenaghamrawi.com. • For more on cybersecurity, visit us at https://cybersecurityventures.com