Podcasts about Stack overflow

Topics covered in this episode: Some more things about Django I've been enjoying Who cleans up after the vibe-coding party? Where Did All Your AI Tokens Go? AgentsView to the rescue! Careful with phishing all Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Consulting from Six Feet Up Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am 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. Calvin #1: Some more things about Django I've been enjoying Julia Evans is learning "2010-style" web dev (Django + SQL + server-rendered HTML) after years of Go backends and JS-heavy frontends Query builders: likes defining custom QuerySet classes with chainable filter methods (.approved().future().with_tags()) — more readable than raw SQL Template filters: highlights urlize, linebreaksbr, json_script, and especially querystring for building/modifying query-string links in templates Migrations: still loves Django's auto-generated migrations — 19 and counting on her project Skips inheritance for class-based views; prefers function-based views for sharing code, though fine using Django's own mixins/interfaces Performance surprise: CPU profiling (via py-spy) — not slow DB queries — revealed the culprit; she'd accidentally disabled the cached template loader, and re-enabling it took throughput from ~2-3 req/s to ~12 req/s on a $10/mo VM Michael #2: Who cleans up after the vibe-coding party? FT Magazine piece by Sam Learner (July 11) on AI coding tools overwhelming open source maintainers - sent in by listener Dylan McConnell, whose main point was that this ran in the Financial Times, not a dev blog. cURL as the case study - Daniel Stenberg has been the only full-time person on it for years; libcurl has been installed an estimated 20+ billion times with 3,000+ listed contributors. Bug bounty killed - cURL ended its paid security bounty program in January, citing an "explosion of AI slop reports" that take real time to debunk and drain morale. Extractive contributions - authoring a PR is now nearly free, reviewing one still costs a human; tldraw's Steve Ruiz closed outside contributions entirely, asking why he'd want someone else writing the easy part. Guido weighs in - van Rossum says projects are holding emergency meetings over the slop flow, and notes LLM patches tend to touch unrelated parts of a file, making review more tedious. "Vibe Coding Kills Open Source" - paper from Miklós Koren's group: packages frequently recommended by coding models saw big download jumps with no matching engagement, breaking the reputation loop that sustains maintainers. Stack Overflow flatlined - over 100,000 questions a month before ChatGPT, under 1,500 last month, with the response rate cut roughly in half; the public archive is now stale training data. The course-creator angle - Josh Comeau's newest web dev course launched at about a third of prior enrollment, and he worries about devs who never learn which questions to ask. But the most interesting portion is what was omitted. Focused on: The end of the curl bug-bounty Omitted: High-Quality Chaos Why the omission is interesting It fits a narrative. The FT piece is a maintenance-and-decline story, and January-Stenberg is a perfect witness for it. April-Stenberg complicates it - same person, same project, better data, opposite direction on the specific claim being used. The tell is already in the article. Learner quotes Stenberg saying AI tools are much better at finding problems than fixing them. That's the April thesis in one line, and it goes undeveloped. Reason for the shift is process, not vibes. Killing the bounty removed the cash incentive and the venue change filtered the rest. Worth saying out loud, because "AI reports got better" isn't quite it - "no bounty plus a real triage platform" is closer. Joke too: Sarah O'Connor wrote a related piece (is this just before skynet launches?) Calvin #3: Where Did All Your AI Tokens Go? AgentsView to the rescue! Local-first desktop/web app for browsing, searching, and analyzing your past AI coding agent sessions (Claude Code, Codex, Copilot, Cursor, Gemini, Aider, and dozens more) Auto-discovers session files on your machine — no config needed; everything stored locally in SQLite, no cloud/accounts agentsview usage is a drop-in ccusage alternative — reads from pre-indexed SQLite, reports run 80–220× faster on large histories New Activity dashboard shows peak concurrency, active vs. idle time, agent-minutes, and cost — filterable by project/agent/machine, with a -json CLI report too Full-text + optional semantic search across every session; also imports Claude.ai/ChatGPT chat exports Install via pip install agentsview, uvx agentsview, brew install --cask agentsview, or download desktop binaries from GitHub Releases Michael #4: Careful with phishing all The situation I pass this along because it was a pretty sneaky bit of targeted phishing, and happened to play off an old interaction in bandit's repo. As usual with phishing scams there are a bunch of tells that this isn't legitimate, but just enough plausibility that I could see falling for it in a weak moment. Relative nobodies like me haven't historically been worth the effort to hit with scams this specific. Agents change the game though :-/. Be careful out there folks! Original message From: "Patrick (Blacktrace)" [HTML_REMOVED] To: LISTENER EMAIL Subject: Your Bandit #1350 (B105 NextToken false positive) -- just fixed that exact case Date: Wednesday, July 15, 2026 12:02 AM Hi AJ, Saw your Bandit issue #1350 -- the B105 hardcoded-password false positive on the string NextToken. I build a deterministic gate that filters that class of Bandit noise, and #1350 was literally the case I just fixed: NextToken / next_token / page_token / nextPageToken now stay quiet, while a genuine hardcoded token like api_token="sk-live-..." still fires. Verified against your exact case. 30-second paste: https://blacktrace.co/noise-eraser Where it still trips, published: https://blacktrace.co/kruc Curious whether it clears what you hit -- and if it trips on something of yours, that's the more useful reply. Patrick, Blacktrace I asked Claude for some analysis too. It was pretty good at finding them. The message name-drops enough real detail to feel legit, but the structure is pure phishing - everything in it exists to get AJ onto blacktrace.co. The strongest ones: Freemail sender, corporate signoff. Signs as "Patrick, Blacktrace" but sends from emailpjv@gmail.com. Real company outreach comes from the company domain, not a personal Gmail - and there's no last name. Over-specific targeting. It mirrors AJ's exact public activity - issue #1350, the B105 rule, the NextToken false positive, even the token variants. That's the "just enough plausibility" AJ flagged, and it's exactly what agents make cheap: scrape a GitHub issue, auto-generate tailored bait. Legit cold outreach rarely reads your history back to you this precisely. The entire payload is two links. Strip the technical flattery and the message is just "paste here" plus "see results here." When the whole point of an email is the click, that's the tell. "30-second paste." Low-friction urgency, and "paste" most likely means paste your source into their tool - handing your code to a stranger's site. Exfiltration dressed as convenience. Brand-new, no-reputation domain. blacktrace.co has no track record, and the name is doing some ominous work. The /kruc slug is random noise, not how real product pages get named. Precise-sounding jargon that's actually vague. "Deterministic gate," "noise-eraser" - impressive, empty. Bolted onto correct real details (B105 is the Bandit hardcoded-password test, sk-live- is a Stripe live-key prefix) to borrow credibility. The disarming close. "if it trips on something of yours, that's the more useful reply" - engineered humility that flatters your expertise and baits a response. Makes engaging feel like you're doing them a favor, which drops your guard. Extras Calvin: DjangoCon US 2026 is rapidly approaching, August 24-28, Chicago Ruff v0.16.0 massively expands its default rule set Ruff now enables 413 rules by default, up from 59 https://astral.sh/blog/ruff-v0.16.0 Michael: Completely redesigned the home page. Try /insights in Claude Code (terminal) Joke: We're Safe

A huge week for open models: Inkling (the first big US open-weight model since Gemma 4), Qwen 3.8, and Kimi 3 all dropped. Plus Vue 3.6 RC + Vapor Mode, the slow death of Stack Overflow, a decoy font that blinds AI, and the usual grab bag of fun links. Show Notes 00:00 Intro 00:44 Welcome to Syntax 03:01 Vue.js 3.6 RC Released Vue.js 3.6-RC.1 09:50 Brought to you by Sentry 10:35 Rift - new worktree alternative Rift Explaining Rift tweet 17:46 Every new browser feature MDN Plus Browser features updates CSS 'text-fit' property 23:09 Kimi K3 Released Kimi K3 release tweet Kimi K3 blog post Openrouter effective pricing 29:33 What are Open Weight Models 32:46 Kimi K3 Architecture Kimi K3's built up Cutting off access to Kimi 33:59 Qwen 3.8 Released Qwen 3.8 launch announcement 36:42 Inkling from Thinking Machines Thinking Machines release Inkling Inkling release post from Mira Murati Thinking Machines news blog post 40:45 Mole Cleanup App Mole 43:21 Moshi Terminal App Moshi app 46:05 RIP Stack Overflow Query for new questions on Stack Overflow Stack Overflow for Agents StackExchange 54:10 Scott's Foot Pedal 54:59 Scott's Feet 56:13 Decoy Font 59:16 Jurassic Park Computers 01:03:59 Ride the Tokyo Trains LIVE 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

Acts of kindness feel good, but they are rarely profitable. Ivo Gormley has spent nearly twenty years proving it's possible while creating an incredible community around helping people.We sat down with him to find out how.Since starting GoodGym in 2007 with a single newspaper run, Ivo has built it into a movement of 25,000+ volunteers across 60+ cities. He's been awarded an OBE and made GoodGym the first-ever charity to win the Sky Zero Footprint Fund Grand Prix.Ivo is also a teacher at the Executive Programme at Future London Academy. Learn from him in-person: https://fla.wiki/3TdVYZlIn this video, you'll learn:▶ How an £8 suggestion made over a pint became a reliable, recurring source of income▶ Why he chose to become a charity, not a business, and doesn't regret it▶ How he built what he needed because no one else did▶ Why a genuine, acknowledged role in delivering something beats a frictionless experience of receiving it▶ Why designing for contribution creates more winners than competition0:00 - Who is Ivo Gormley? GoodGym founder introduction1:41 - Anthropology, comedy & service design: Ivo's career path6:03 - The story behind GoodGym: why Ivo started it9:05 - Quitting his job to go full-time on GoodGym (2013)12:14 - Group runs & community volunteering: the GoodGym model14:34 - GoodGym's donation-based business model explained19:29 - How GoodGym got local councils to invest24:55 - GoodGym during COVID: volunteering through the pandemic35:25 - Charity vs social enterprise: why GoodGym chose nonprofit status44:55 - Design, loneliness & human connection52:45 - How AI is eroding human identity (the Stack Overflow effect)1:04:20 - Building a business with AI without losing human connectionSubscribe to our social media channels:Instagram: @futurelondonacademyLinkedIn: Future London AcademyTwitter: @flondonacademyfuturelondonacademy.co.uk

Alexandra Lato, VP of Product at Stack Overflow, joins Scott to talk about how Stack Overflow is evolving for the age of AI agents. They explore the new "Stack Overflow for Agents" feature, where a single prompt bootstraps an agent with all the knowledge and APIs of Stack Overflow, and what it means for how developers, agents, and communities share and verify knowledge together. https://agents.stackoverflow.com/

La contratación junior cayó a la mitad en tres años, pero la historia no es tan simple como "la IA los reemplazó". Hablamos de los números reales, por qué cambió el trabajo de entrada, las empresas que sí siguen contratando juniors, y qué debe hacer alguien que está empezando hoy para destacar.- https://www.joberty.com/blog/ai-entry-level-it-jobs-2026/ — "The Death of Entry-Level IT Jobs? What AI Really Means for Junior Developers in 2026"- https://ardura.consulting/blog/junior-developer-crisis-2026-why-companies-stopped-hiring-entry-level/ — "Junior developer crisis 2026 — why hiring dropped 50%"- https://medium.com/@kantmusk/the-companies-quietly-hiring-junior-developers-in-2026-while-everyone-else-panics-about-ai-e13028a78d25 — "The Companies Quietly Hiring Junior Developers in 2026 While Everyone Else Panics About AI"- https://codeconductor.ai/blog/future-of-junior-developers-ai/ — "The Future of Junior Developers in the Age of AI (2026)"- https://www.wadeswatch.com/will-ai-replace-junior-level-tasks-a-2026-reality-check-for-entry-level-jobs/ — "Will AI Replace Junior Level Tasks? A 2026 Reality Check for Entry-Level Jobs"- https://spectrum.ieee.org/ai-effect-entry-level-jobs — "AI Shifts Expectations for Entry Level Jobs" (IEEE Spectrum)- https://blog.newtum.com/entry-level-developer-jobs-after-ai/ — "Entry Level Developer Jobs After AI: A 2026 Survival Plan"- https://stackoverflow.blog/2025/12/26/ai-vs-gen-z/ — "AI vs Gen Z: How AI has changed the career pathway for junior developers" (Stack Overflow)- https://www.ziprecruiter.com/Jobs/Junior-Ai-Developer — Datos de salarios y vacantes reales de "Junior AI Developer"

Сегодня говорим про то, как SpaceX покупает Cursor за 60 миллиардов долларов, про новый Fable 5 от Anthropic и его внезапный бан по гражданству от властей США, заглянем за кулисы Apple WWDC 2026, поговорим про Gemini 3.5 Live Translate, китайский ИИ-план на 295 миллиардов, модель GLM-5.2, карту Kimi Credit Card, медицинский ИИ от Midjourney, боевой Grok в Пентагоне и будущее Stack Overflow в эпоху автономных агентов.  В концевас ждёт ИИ-психотерапия и то, как доступность нейросетей теперь влияет на выбор страны для релокации.

У цьому випуску обговорюємо реліз нової моделі Anthropic та пов'язані з ним обмеження доступу. Аналізуємо перехід Chrome на Manifest V3 та його вплив на блокувальники реклами. Розглядаємо експеримент Xbox із продажем ігор у розстрочку та причини кризи в ігровій індустрії. Також говоримо про стрімке зростання кількості AI-інструментів для програмування, новий напрямок розвитку Stack Overflow та прогрес локальних моделей, які стають дедалі доступнішими. 00:25 — обговорення моделей та тенденції в нумерації 04:21 — критика нових моделей та їх безпека 10:10 — опенсорс моделі та їх використання 13:21 — порівняння моделей штучного інтелекту 16:20 — зміни в браузерах та їх наслідки 20:13 — криза в ігровій індустрії 25:21 — автономні агенти, кількість коду та його вплив на бізнес 32:51 — новації в редакторах коду 34:55 — конкуренція в інноваціях: Китай та США 40:40 — Stack Overflow: нові можливості для розробників 46:40 — Трамп Мобайл та його скандали 50:16 — WWDC

ในยุคหนึ่งมีคำกล่าวว่า หากเว็บไซต์นี้ล่มสลาย การพัฒนาซอฟต์แวร์ทั้งโลกก็จะหยุดชะงักตามไปด้วย นี่คือความยิ่งใหญ่ของ Stack Overflow ศูนย์กลางความรู้ของโปรแกรมเมอร์ทั่วโลกที่ใช้เวลาสร้างอาณาจักรมานานถึง 17 ปี แต่ในวันนี้ ยอดคำถามใหม่กลับดิ่งเหวลงไปเทียบเท่ากับช่วงเริ่มต้น หลายคนอาจคิดว่าจุดจบนี้เป็นเพราะการมาถึงของ AI อย่าง ChatGPT แต่ความจริงที่น่าตกใจกว่านั้นคือ แพลตฟอร์มนี้ได้เพาะเมล็ดพันธุ์แห่งการทำลายล้างตัวเองจากภายใน มานานหลายปีก่อนหน้าที่ AI จะถือกำเนิดขึ้นเสียอีก เกิดอะไรขึ้นกับอาณาจักรที่เคยยิ่งใหญ่แห่งนี้ และทำไมความร่วงโรยของ Stack Overflow ถึงเป็นสัญญาณเตือนที่น่ากลัวสำหรับอนาคตของโลกอินเทอร์เน็ตที่เราทุกคนต้องเผชิญ เรามาค้นหาคำตอบเบื้องหลังเรื่องราวนี้กันครับ เลือกฟังกันได้เลยนะครับ อย่าลืมกด Follow ติดตาม PodCast ช่อง Geek Forever's Podcast ของผมกันด้วยนะครับ #StackOverflow #โปรแกรมเมอร์ #เขียนโค้ด #ข่าวไอที #เทคโนโลยี #ปัญญาประดิษฐ์ #อนาคตเทคโนโลยี #แวดวงไอที #ข่าวเทคโนโลยี #การพัฒนาซอฟต์แวร์ #นักพัฒนาโปรแกรม #เรียนเขียนโค้ด #geekstory #geekforeverpodcast

What does it actually mean to be AI native? Not the buzzword — the real thing. Host Bobby Brill brings together seven ServiceNow experts across six conversations for a complete picture of what AI native thinking, building, and working looks like right now.━━━━━━━━━━━━━━━━━━━━━━━━WHAT WE COVER━━━━━━━━━━━━━━━━━━━━━━━━DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNowThe clearest definitions you'll find anywhere of responsible AI, ethical AI, and human-centered AI — and why all three are required if you're going to do this right. Plus: why AI native means AI as the operating system, not a feature.DR. ALAINA BEAVER — Global Head of Accessibility Customer Engagement, ServiceNowServiceNow built the world's first AI model accessibility checker with the Global Accessibility Awareness Day Foundation — and open-sourced it on GitHub for free. Because responsible AI native behavior means holding AI itself accountable.ANAND THARANATHAN — Research Leader, ServiceNowA framework from cognitive science every AI builder needs: use, disuse, misuse, and abuse. The four modes of AI interaction — and why proper use is the only one that delivers.TARA BOGAVELLI & KATRINA STANKIEWICZ — Voice AI Research Team, ServiceNowHow ServiceNow built a rigorous open-source evaluation framework for voice agents from scratch — and what cascade failures, transcription errors, and prosody failures actually sound like in practice.IAN THURLOW & ANDREW YAN — Software Engineering Manager & Software Engineer, ServiceNowThe daily ground-floor reality of being AI native: AI as accelerator, AI as the new Stack Overflow, the calculator analogy, and why fundamentals matter more than ever.━━━━━━━━━━━━━━━━━━━━━━LEARN MORE━━━━━━━━━━━━━━━━━━━━━━━━ServiceNow Responsible AI: https://www.servicenow.com/responsible-aiAI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.htmlServiceNow AI: https://www.servicenow.com/artificial-intelligence━━━━━━━━━━━━━━━━━━━━━━━━ABOUT THIS PODCAST━━━━━━━━━━━━━━━━━━━━━━━━Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.#AINative #ServiceNow #ResponsibleAI #HumanCenteredAI #AIEthics #EnterpriseAI #FutureOfWork #NowAssist #ArtificialIntelligence #PodcastSee omnystudio.com/listener for privacy information.

What does it actually mean to be AI native? Not the buzzword — the real thing. Host Bobby Brill brings together seven ServiceNow experts across six conversations for a complete picture of what AI native thinking, building, and working looks like right now.━━━━━━━━━━━━━━━━━━━━━━━━WHAT WE COVER━━━━━━━━━━━━━━━━━━━━━━━━DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNowThe clearest definitions you'll find anywhere of responsible AI, ethical AI, and human-centered AI — and why all three are required if you're going to do this right. Plus: why AI native means AI as the operating system, not a feature.DR. ALAINA BEAVER — Global Head of Accessibility Customer Engagement, ServiceNowServiceNow built the world's first AI model accessibility checker with the Global Accessibility Awareness Day Foundation — and open-sourced it on GitHub for free. Because responsible AI native behavior means holding AI itself accountable.ANAND THARANATHAN — Research Leader, ServiceNowA framework from cognitive science every AI builder needs: use, disuse, misuse, and abuse. The four modes of AI interaction — and why proper use is the only one that delivers.TARA BOGAVELLI & KATRINA STANKIEWICZ — Voice AI Research Team, ServiceNowHow ServiceNow built a rigorous open-source evaluation framework for voice agents from scratch — and what cascade failures, transcription errors, and prosody failures actually sound like in practice.IAN THURLOW & ANDREW YAN — Software Engineering Manager & Software Engineer, ServiceNowThe daily ground-floor reality of being AI native: AI as accelerator, AI as the new Stack Overflow, the calculator analogy, and why fundamentals matter more than ever.━━━━━━━━━━━━━━━━━━━━━━LEARN MORE━━━━━━━━━━━━━━━━━━━━━━━━ServiceNow Responsible AI: https://www.servicenow.com/responsible-aiAI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.htmlServiceNow AI: https://www.servicenow.com/artificial-intelligence━━━━━━━━━━━━━━━━━━━━━━━━ABOUT THIS PODCAST━━━━━━━━━━━━━━━━━━━━━━━━Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.#AINative #ServiceNow #ResponsibleAI #HumanCenteredAI #AIEthics #EnterpriseAI #FutureOfWork #NowAssist #ArtificialIntelligence #PodcastSee omnystudio.com/listener for privacy information.

Most sales teams are reactive — waiting for buyers to fill out a form, book a demo, or respond to an email. Tal Peretz, co-founder and CEO of OnFire AI, is building the infrastructure to change that. OnFire monitors millions of public signals across Reddit, Stack Overflow, LinkedIn, Slack, and technical forums to identify high-intent buyers before they ever contact your sales team.In this episode, Tal breaks down how AI is transforming go-to-market for companies selling to technical buyers — CTOs, CISOs, and engineers — who notoriously resist generic outreach and respond only to context-rich, well-timed conversations. Tal shares his journey from engineer to CEO, how he and his co-founder interviewed 275 revenue leaders before writing a line of code, what it's really like to raise a $20M seed round, and the hard-won lessons of learning to sell as a first-time founder. From ICP discovery and outcome-based pricing to the future of AI in sales, this is a masterclass in signal-driven, intent-based revenue growth.Key Takeaways0:00 — Why most sales teams miss buyers who are already signaling intent publicly2:07 — Intro to Tal Peretz: Co-founder & CEO of OnFire AI3:56 — The origin story: 275 revenue leader interviews before building the product4:36 — How OnFire works: Capturing public web signals, de-anonymizing prospects, and delivering real-time context to sales teams6:25 — Why selling to CTOs, CISOs, and engineers is uniquely difficult — and uniquely valuable7:36 — The 50-million-engineer insight: Turning public technical conversations into revenue intelligence10:04 — What true AI ROI looks like: efficiency gains + directly attributed pipeline11:15 — The 4X pipeline result: What customers see in their first quarter with OnFire11:52 — Speed + personalization + human touch: Why all three are required for signal-based outreach13:03 — Raising a $20M seed round and what hypergrowth pressure really means13:47 — What makes a great investor: shared values, chemistry, and true partnership in hard moments15:59 — Managing pressure: Working backwards from a 24-month North Star to break goals into milestones17:07 — Building vs. selling: What was harder in the early days17:59 — An engineer who learned to love sales: How Tal found his passion for closing deals19:21 — The ICP trap: Why selling to everyone early is the most costly mistake a founder makes20:51 — The outbound playbook: Cold calling, LinkedIn, and the "stealth company" message that landed their biggest customers22:10 — The consulting approach: Why leading with curiosity instead of a pitch built their enterprise pipeline24:41 — The three-layer go-to-market machine: Brand, field/events, and outbound working together26:45 — Selling six-figure enterprise deals: Going on-site, acting as a partner, not a vendor28:51 — Staying focused in a crowded AI market: The "build on top of the platform" rule30:02 — Building go-to-market teams as a technical founder: The hardest challenge32:14 — The biggest AI pricing mistake: Why outcome-based pricing is the future35:03 — Sales-led vs. product-led growth: How Tal thinks about when and how to make the shift38:09 — The future of go-to-market: How AI eliminates the 80% of busy work reps do today40:53 — The one thing founders must nail to break through from product to real revenue41:38 — Where to find Tal and OnFire AITweetable Quotes"We monitor the public web for signals — competitors, pain points, product mentions — and surface them to your sales team in real time. Your buyers are already talking. You just have to listen." — Tal Peretz"It's not about quantity. It's about the quality of the data. Act fast, personalize based on the pain point, and always keep the human touch in the loop." — Tal Peretz"We take your existing team and infrastructure and make the pipeline 4X better — not by adding headcount, but by giving them the right signal at the right moment." — Tal Peretz"Every revenue is not good revenue. Nail your ICP first — where you see the biggest pain, the best retention, and the growth potential — then press the pedal." — Tal Peretz"The best investors aren't just writing checks. When something breaks — and something always breaks — that's where you find out if you have a true partner." — Tal Peretz"AI will eat the 80% of the sales rep's day that is busy work. The reps who win will be the ones who know how to leverage those tools and still build real relationships." — Tal Peretz"Outcome-based pricing is the future. Align what your customer pays with the value they actually receive — then you're never fighting about ROI again." — Tal Peretz"We started with outbound and a simple message: 'I'm a stealth founder. I want to learn from your experience.' No pitch. Just curiosity. Our biggest customers today came from that exact message." — Tal PeretzSaaS Leadership Lessons1. Validate the market before you build the product. Tal and his co-founders interviewed 275 revenue leaders before writing a single line of code. They didn't fall in love with a solution — they found the problem first. For early-stage founders, this discipline separates products that get traction from ones that get ignored.2. Your ICP is not a marketing decision — it's a survival decision. Selling to every prospect early feels like progress, but it's a trap. Tal's hard-won insight: identify the customers with the biggest pain, the highest retention potential, and the best growth trajectory early, then build everything around them. Chasing the wrong customers burns runway and muddies your product roadmap.3. Great investors are chosen for the downside, not the upside. When everything is working, any investor looks great. The real test comes when something breaks. Tal defines great investors by shared core values, authentic chemistry, and willingness to engage as a true partner — not just a capital source — when the hard moments arrive.4. Act like a consultant before you act like a vendor. OnFire's biggest enterprise wins came from going on-site, meeting the full revenue team, mapping the customer's strategic goals, and co-designing a plan — before ever talking contract. For founders selling complex, high-ACV solutions, acting as a partner rather than a vendor changes the entire sales dynamic.5. Outcome-based pricing aligns your success with your customer's success. Charging by seat or token puts you in constant translation mode — always proving value. Pricing tied to outcomes (pipeline generated, conversations resolved, deals influenced) makes the value self-evident and creates a partnership, not a vendor relationship. The companies doing this best in AI are winning stickier, larger contracts.6. The future sales rep is an AI orchestrator, not a data processor. Today's reps spend ~80% of their time on research, sourcing, and admin — not selling. AI will progressively eliminate that 80%. The reps who thrive won't be those who resist the change, but those who master AI tooling and redirect all of their energy to the irreplaceable human skill: building trust and closing deals.Guest Resourcestal@onfire.aihttps://onfire.aihttps://www.linkedin.com/in/tal-peretz/instagram.com/peretztalx.com/TalPeretz13Episode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains

Today on the Invest In Her podcast, host Catherine Gray talks with entrepreneur and AI innovator Bethany Crystal, founder and CEO of Build First, an AI learning lab and product studio focused on helping people turn ideas into working products—often in under an hour. With a background spanning startups, venture capital, workforce development, and leadership roles at organizations including Union Square Ventures, Tech:NYC, and Stack Overflow, Bethany has spent more than a decade helping people adapt to major technology shifts. She is passionate about making AI approachable and practical for everyday people, and has already trained more than 1,500 individuals through hands-on workshops, hackathons, and live build sessions.  In this episode, Bethany and Catherine dive into the rapidly evolving world of AI and what it means for entrepreneurs, creators, and the future of work. Bethany shares how she unexpectedly began building AI-powered mini apps for her own family and how that experience led her to launch Build First. The conversation explores why learning to "build" with AI is becoming an essential skill, how non-technical founders can use AI tools to bring ideas to life faster than ever before, and why experimentation is more important than perfection in today's business landscape. Bethany also discusses balancing entrepreneurship with motherhood, her grassroots leadership work in New York City, and her belief that the future belongs to people willing to adapt, create, and embrace emerging technology. Websites Mentioned: https://buildfirst.ai/ https://www.showherthemoneymovie.com www.sheangelinvestors.com    Follow Us On Social Facebook @sheangelinvestors Twitter (X) @sheangelsinvest Instagram @sheangelinvestors & @catherinegray_investinher LinkedIn @catherinelgray & @sheangels  

https://clearmeasure.com/developers/forums/ Stephen Cleary is a software developer, author, and independent consultant with deep expertise in asynchronous and concurrent programming in .NET. He is the author of "Concurrency in C# Cookbook" (O'Reilly, 2nd edition), the definitive practical reference on async, parallel, reactive, and multithreaded programming in C#. Stephen is one of the top-ranked users on Stack Overflow, widely recognized for his authoritative answers on async/await, and he has published extensively on the subject through MSDN Magazine, conference talks, and his long-running blog. His most recent blog post, "Debug Dumps in Visual Studio," was published in December 2025 and continues his tradition of sharing hard-won, practical knowledge with the .NET community. Website: https://stephencleary.com  Blog: https://blog.stephencleary.com Book: https://stephencleary.com/book/ GitHub: https://github.com/StephenCleary Twitter/X: https://x.com/astevecleary Github - Comparers Nuget - Nito Comparers  Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

פרק מספר 515 של רברס עם פלטפורמה - באמפרס 91. רן תבורי, דותן ואלון מתכנסים לפרק באמפרס עמוס בחדשות טכנולוגיות, AI, שינויים בשוק התעסוקה, כלים חדשים למפתחים, והדילמה הנצחית של "אש או בוץ" בפרויקטים של קוד פתוח. [00:51] השקיעה של Stack Overflow רן פותח עם גרף שמראה את צניחת כמות השאלות הנשאלות ב-Stack Overflow לאורך השנים. האפקט ברור: מרגע שהבוטים שלנו מיצו את התוכן והחלו לתת לנו תשובות מיידיות, הטראפיק לאתר התרסק. דותן מציין שהירידה הכללית החלה עוד קודם, אך קפצה זמנית בתקופת הקורונה. [04:10] כולם מדברים על סקילים עולם סוכני הפיתוח (Agents) לא זז היום בלי סקילים (Skills). מקום מעולה להתחיל בו הוא האתר https://skills.sh/. דוגמה כיפית ושימושית מתוכו: סקיל לספריית Manim (של ערוץ היוטיוב 3Blue1Brown) שמאפשר ליצור אנימציות מתמטיות בקלות. הנה ציוץ הדגמה בטוויטר, והקישור לסקיל עצמו ב-Skills.sh. בעקבות הביקוש, נוצרה ממש תעשייה של מנועי חיפוש וספריות של סקילים: http://skills.sh (למקרה שפספסתם) https://context7.com/ https://skillsmp.com/ ריפו מעניין בגיטהאב: https://github.com/mhattingpete/claude-skills-marketplace [07:44] העתיד של ממשקי המשתמש ו-MCP Apps הסטנדרט החדש, MCP-apps, מאפשר להעביר רכיבי HTML אינטראקטיביים ישירות בתוך MCP (ולא רק טקסט). הפרויקט מובל בין היתר על ידי ליעד ועידו, מי שהקימו בעבר את https://mcpui.dev/. שווה לראות את סרטון ההדגמה ביוטיוב. ליעד השיק לאחרונה כלי מעניין נוסף בשם https://ora.run/ שמאפשר לכם לבדוק עד כמה האתר או הביזנס שלכם מותאם לקריאה על ידי סוכני AI (Agent-Ready). דיון פילוסופי קצר: איך ייראה עתיד ה-UX? חברות ענק כמו סיילספורס (Salesforce) כבר עברו להציע חוויית Headless מלאה שפונה קודם כל לאייג'נטים. [13:35] דונלד קנות', קלוד, והסקפטיות שנשברה פרופסור דונלד קנות' (Donald Knuth), מאבות מדעי המחשב, פרסם לאחרונה מאמר מרתק תחת הכותרת Claude Cycles. המסר המרכזי: קנות' התחיל כסקפטי מוחלט בנוגע ליכולות של כלי AI לכתוב קוד איכותי, אבל לאחר סדרת ניסויים, הוא מודה שהופתע לטובה. [15:52] פלטפורמות ניהול והרצה לאייג'נטים לכתוב סוכן זה קל, להריץ אותו בסביבה מאובטחת בסקייל ללקוחות זה סיפור אחר לגמרי. הפתרון? פלטפורמות Agent Hosting שצצות עכשיו בכל מקום: אנתרופיק (Anthropic) מציעים Managed Agents. גם OpenAI חזק במשחק עם פלטפורמת Frontier. ואמזון (AWS) הציגה את Bedrock AgentCore. [23:14] פיטורי AI ועתיד שוק התעסוקה התעשייה עוברת שינויים כואבים. חברות כמו Block ו-Coinbase מקטינות את מצבת כוח האדם ומצמצמות צוותים כפועל יוצא מהתייעלות מבוססת AI. למרות זאת, נשמעים גם סיפורים על חברות שמעדיפות כרגע לשכור מפתחים ג'וניורים זולים במקום לשלם על עלויות תפעול גבוהות של כלי AI. אז מה העתיד טומן בחובו? אולי לפחות נוכל לתת לרובוט לקפל לנו את הכביסה. [25:54] כלים לטרמינל (ההמלצה של אלון) כשהטרמינל עמוס באייג'נטים שרצים ברקע, כדאי לעשות סדר. אלון ממליץ בחום על https://cmux.com/, כלי טרמינל נוח במיוחד שמבוסס על Ghostty, עם תמיכה בטאבים ורטיקליים שמאוד מקלים על העבודה עם סוכנים מרובים (למרות שרן טוען אצלו זה קצת "התעייף" ונהיה אטי). [31:11] הפריצה לורסל (Vercel) ורסל סבלה לאחרונה מפריצת אבטחה (ההודעה הרשמית כאן), שבמהלכה כנראה דלפו מפתחות (API Keys) של לקוחות ונמכרו ברשת האפלה. אם עדיין לא עשיתם רוטציה למפתחות שלכם שם – זה הזמן. [32:41] פינת הקוד הפתוח של דותן: "אש או בוץ" (

Welcome to episode 353 of The Cloud Pod, where the weather is always cloudy! Justin, Ryan, and Matt are in the studio this week and ready to bring you all the latest news, including earnings from the big 3, a new agreement between the DOW and Google (Don’t be Evil), AI Agents, and more OpenClaw news (that your security team may not appreciate). Plus, DataCenters may not be great for the environment. Who knew?  There's a lot to cover, so let's get started! Titles we almost went with this week Who Let the Bots Out? AI Governance Has No Answer  Microsoft Loses Its OpenAI Monopoly But Keeps the Parking Spot  AWS But Make It Forklifts and Freight Bezos Built a Money Printer That Prints Data Centers GPT-5.5 Instant Arrives Faster Than Your Last Existential Crisis When Your AI Coding Tool Ghosts You for Seven Weeks No More Goldfish Brain for Your AI Agents Amazon Quick Connects Everything Except Your Work-Life Balance AWS WAF Now Knows Which AI Is Crawling Your Stuff Stop Pushing Broken Code to Staging Like a Caveman Your AI Agent Called It Needs Automated Therapy OpenAI Moves In, and AWS Didn’t Even Change the Locks AI Interviews Candidates So Recruiters Can Nap Foundry Gives AI Agents Long-Term Memory and a Diary Cloud Earnings are Up… but some day the Capex Bell will Toll for the AI Reckoning Who Let the Bots Out? AWS WAF now shows you A big thanks to this week's sponsors: There are many cloud cost management tools out there, but only Archera provides insured commitments. It sounds fancy, but it’s really simple. Archera gives you the cost savings of a 1 or 3-year AWS Savings Plan with a commitment as short as 30 days. If you do not use all the cloud resources you have committed to, Archera will literally cover the difference. Other cost management tools may say they offer “insured commitments”, but remember to ask: Will you actually give me my rebate? Because Archera will.  Check out thecloudpod.net/archera to schedule a demo today.  We also wanted to tell you about something coming to the US for the first time — WeAreDevelopers World Congress!  They’ve been doing this in Europe for years, 15,000-plus attendees in Berlin, it’s one of the biggest developer events over there. Coté from Software Defined Talk is actually speaking at their Berlin event this summer, so we’ve got some firsthand context here. In September, they’re launching the North America edition. San José, September 23 to 25. 500-plus speakers, 18 tracks — cloud, infrastructure, DevOps, security, AI, data engineering, all of it. Speakers from Datadog, Honeycomb, Sentry, Google, LinkedIn, and Stack Overflow. Olivier Pomel, Christine Yen, Milin Desai, Kelsey Hightower – plus workshops and masterclasses, not just talks. These are people who know how to do a developer conference at scale. wearedevelopers.us, code DEVPOD26 for 15% off. Group rates on top of that for 4 or more. Follow Up It's Earnings Time!  01:23 Microsoft (MSFT) Q3 earnings report 2026 Microsoft posted Q3 2026 revenue of $82.89 billion, up 18% year over year, with Azure cloud services growing 40%, slightly ahead of analyst expectations in the 38-39% range. Capital expenditures came in at $31.9 billion, about $3 billion below the analyst consensus of $34.9 billion, contributing to the stock dipping 2% despite the earnings beat, reflecting investor sensitivi

Welcome to episode 352 of The Cloud Pod, where the weather is always cloudy! Justin, Matt, and Ryan are safely back from Vegas (Ryan and Justin, anyway), and they have all the news and announcements from Google Next. Plus, we have Ryan's take on Phish, news from Cloudflare, and a shoe company making a pivot. There's a lot to cover, so let's get started! Titles we almost went with this week Redact Yourself Before You Wreck Yourself OpenAI **Anthropic Fork Yeah Cloudflare Artifacts Is Here Git Happens at Scale on Cloudflare Bucket List Item Checked Lambda Mounts S3 File Systems Terraform Your Agents Before They Terraform You Cloud Run Gets GPUs and Finally Hits the Gym Spanner Goes Rogue, Leaves the Cloud Behind Knowledge Catalog Knows What Your Agents Did Last Query One Control Plane to Rule a Million Chips No More Incognito Windows for Your AWS Identity Crisis Your Agent Can Now Write Files Without Burning Everything Down Spend Caps Finally Tell Runaway AI Jobs to Chill RIP Vertex, long live the agent Agents all the way down Google Next: This is the dawning of the Age of Agentic Allbirds Proves AI Hype Needs No Infrastructure   A big thanks to this week's sponsors: There are a lot of cloud cost management tools out there, but only Archera provides insured commitments. It sounds fancy, but it’s really simple. Archera gives you the cost savings of a 1 or 3-year AWS Savings Plan with a commitment as short as 30 days. If you do not use all the cloud resources you have committed to, Archera will literally cover the difference. Other cost management tools may say they offer “insured commitments”, but remember to ask: Will you actually give me my rebate? Because Archera will.  Check out thecloudpod.net/archera to schedule a demo today.  We also wanted to tell you about something coming to the US for the first time — WeAreDevelopers World Congress!  They’ve been doing this in Europe for years, 15,000-plus attendees in Berlin, it’s one of the biggest developer events over there. Coté from Software Defined Talk is actually speaking at their Berlin event this summer, so we’ve got some firsthand context here. In September, they’re launching the North America edition. San José, September 23 to 25. 500-plus speakers, 18 tracks — cloud, infrastructure, DevOps, security, AI, data engineering, all of it. Speakers from Datadog, Honeycomb, Sentry, Google, LinkedIn, and Stack Overflow. Olivier Pomel, Christine Yen, Milin Desai, Kelsey Hightower – plus workshops and masterclasses, not just talks. These are people who know how to do a developer conference at scale. wearedevelopers.us, code DEVPOD26 for 15% off. Group rates on top of that for 4 or more. General News  06:12 Amazon invest up to $25 billion in Anthropic part of AI infrastructure Amazon has committed up to $25 billion in additional investment in Anthropic, bringing its total potential investment to $33 billion. The latest $5 billion tranche is based on Anthropic’s $380 billion valuation, with up to $20 billion more tied to commercial milestones. In exchange, Anthropic has committed to spending over $100 billion on AWS over the next decade, with a specific focus on Trainium custom AI chips, and plans to bring nearly 1 gigawatt of

Welcome to episode 351 of The Cloud Pod, where the weather is always cloudy! Justin, Matt, and Ryan are in the studio today and ready to bring you the latest in cloud and AI news. And it's that time of year again – we're coming up quickly on Google Next, place your AI money bets, so we've got our yearly predictions for what's coming from Vegas, as well as more news about Mythos, Amazon finally becoming a utility, and even an aftershow where we discuss the computing power of Artemis. It's a great show, so let's get started!  Titles we almost went with this week Three StorageClasses Walk Into an AI Workload Deprecated Models Don’t Die, They Just Fail Your API Calls SQL Walks Into a Graph Bar and Stays Too Many Agents Spoil the Workflow One Registry to Rule All Your Rogue AI Agents Eight CPUs Walk Into Space, Only One Comes Back Stop Retyping the Same Gemini Prompt Like a Caveman Claude Code Routines Let AI Work While You Sleep AWS Builds a Yellow Pages for Your AI Agents GPT Finally Stops Refusing to Talk About Hacking None of the hosts is ready for Next We are once again trying to look into our next next next crystal ball and failing Google is gonna announce AI, it’s just mandatory now Las Vegas is calling, our Livers are crying A big thanks to this week's sponsors: There are a lot of cloud cost management tools out there, but only Archera provides insured commitments. It sounds fancy, but it’s really simple. Archera gives you the cost savings of a 1 or 3-year AWS Savings Plan with a commitment as short as 30 days. If you do not use all the cloud resources you have committed to, Archera will literally cover the difference. Other cost management tools may say they offer “insured commitments”, but remember to ask: Will you actually give me my rebate? Because Archera will.  Check out thecloudpod.net/archera to schedule a demo today.  We also wanted to tell you about something coming to the US for the first time — WeAreDevelopers World Congress!  They’ve been doing this in Europe for years, 15,000-plus attendees in Berlin, it’s one of the biggest developer events over there. Coté from Software Defined Talk is actually speaking at their Berlin event this summer, so we’ve got some firsthand context here. In September, they’re launching the North America edition. San José, September 23 to 25. 500-plus speakers, 18 tracks — cloud, infrastructure, DevOps, security, AI, data engineering, all of it. Speakers from Datadog, Honeycomb, Sentry, Google, LinkedIn, and Stack Overflow. Olivier Pomel, Christine Yen, Milin Desai, Kelsey Hightower – plus workshops and masterclasses, not just talks. These are people who know how to do a developer conference at scale. wearedevelopers.us, code DEVPOD26 for 15% off. Group rates on top of that for 4 or more. Follow Up 01:47 AI Cybersecurity After Mythos: The Jagged Frontier  Since the original Mythos/Project Glasswing announcement, AISLE published follow-up testing showing that small, inexpensive open-weight models can replicate much of the vulnerability detection work Anthropic attributed to Mythos, with all 8 tested models detecting the flagship FreeBSD NFS buffer overflow, including a 3.6B parameter model costing $0.11 per million tokens. A notable correction to the framing of the original announcement: cyb

IA photoréaliste en 3D, retouche et vidéo boostées à l'IA, compression intelligente pour les LLM, polémique GitHub sur l'usage des données, Wikipédia qui résiste à l'IA, agents autonomes façon “Stack Overflow”, anecdote cybersécurité avec Brave, cafards cyborgs et drones policiers futuristes. En seconde partie : voitures électriques en tension, ambitions lunaires de la NASA, propulsion nucléaire vers Mars et avenir du jeu vidéo sur Linux.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord Modèles de la semaine Gaussienes vs textures, pourquoi choisir ? Pixel Smile, Autogaze, Denoise, le DLSS 5 de Meta. Lyria s'allonge, Apple distille ses Gemini. Finalement, Github va aussi utiliser vos données. Bouclage de boucle : un stack overflow pour agents. Plus d'IA pour Wikipedia. Mais toujours des Wiki. La terre est blatte : des cyborgs dégueu inspectent les canalisations. Drone de fer : la police, bientôt comme dans Cyberpunk. Moonshots La voiture de Sony, qu'est-ce qu'elle Afeela ? TSMC au taquet, ARM choisit son moment pour revenir… Nec core Ultra ? Intel casse les prix. Mais c'est le seul. Un portable très LG sur la consommation. En fusion, la NASA vise la Lune. Jeu sous Linux, Wine est enfin synchro. Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

In this episode, Wes breaks down how PLG is evolving and why the fastest-growing AI companies are still using it, just with a completely different playbook. The old model was about reducing friction. The new model is about doing the work for the user. It starts with Shutterstock, a company that had PLG nailed for years. But once AI image generators arrived, everything changed. Users no longer wanted to browse and compare endless options. They wanted to type what they needed and get the result instantly. That same shift is now reshaping software everywhere. You'll also hear examples like Google Slides vs. Gamma, Stack Overflow vs. Cursor, and Westlaw vs. Harvey, where AI-native products are not just easier to use. They are taking on more of the actual work. The episode also breaks down the three versions of PLG. PLG 1.0 is built for builders. PLG 2.0 is powered by AI and built for editors. PLG 3.0 goes even further, with agents completing work on the user's behalf. As products move through these stages, time to value drops and market potential grows. If you are building a product-led company, this episode will challenge how you think about growth, user expectations, and what it takes to win in an AI-first market. Key Highlights: 0:00 - Why PLG is evolving 0:19 - The Shutterstock example 1:24 - From reducing friction to doing the work 1:32 - Google Slides vs. Gamma 2:23 - Stack Overflow vs. Cursor 2:39 - Westlaw vs. Harvey 3:23 - The three versions of PLG 4:32 - What defines PLG 2.0 5:24 - How AI expands TAM 7:53 - What PLG 3.0 looks like 11:03 - Which version are you building for? Resources: Shutterstock: https://www.shutterstock.com Gamma: https://gamma.app Cursor: https://www.cursor.com Harvey: https://www.harvey.ai Westlaw: https://legal.thomsonreuters.com/en/products/westlaw

Андрей Апанасик, сооснователь сервиса Balancy и легенда отечественного игрожура, в гостях у Андрея Смирнова из Weekend Talk. Интервью с исследователем продуктивности – https://clc.to/7csf_g Телеграм-канал Андрея Смирнова – https://t.me/itsmirnov 00:00 Начало 00:49 Чем можешь быть известен моей аудитории? 01:48 Рекламная пауза 02:46 Почему отказался от успешной карьеры в IT ради создания игр? 11:46 Как пришел от закрытия собственной игры к созданию сервиса для геймдева? 18:09 Чем кардинально отличается обычное IT и разработка игр? 23:41 Может ли AI убить разработку игр и как сейчас вкатиться в геймдев? 36:15 Как стал «легендой игрожура» и почему берешь интервью у разработчиков игр? 42:47 Как выстраиваешь типовой рабочий день и всё успеваешь совмещать? 49:18 Зачем в своё время стал модератором Stack Overflow? 50:28 Кем бы ты стал, если бы не было IT-сферы? 51:01 Как тебе переезд на Кипр и планируешь ли ехать куда-то ещё? 53:56 В чём сейчас главная проблема современного IT? Ссылки по теме: 1) Личный телеграм-канал Андрея – https://t.me/apanasik_jobless 2) Блог Андрея про разработку игр – https://t.me/gamedev_suffering 3) YouTube-канал Андрея – https://www.youtube.com/@Suvitruf 4) Подкаст «Посиделки с инди» – https://pc.st/1834730098 4) Статья, как попасть в геймдев – https://dtf.ru/apanasik/1692595-kak-nevkatitsya-v-geimdev

An airhacks.fm conversation with Daniel Terhorst-North (@tastapod.com) about: first computer experience with the ZX81 and its 1K memory, the 1K chess game on ZX81, the ZX Spectrum with 16K and later 48K memory, the Amstrad 128K, typing in game listings from computer magazines, Dan's brother John hacking ZX spectrum games using a hardware freeze device and memory peeking/poking, cracking game encryption and copy protection on 8-bit tape cassette games, the arms race between game publishers and hackers, cracking the Star Wars game security before its release, ZX Spectrum fan sites and retro gaming communities, classic games including 3D Monster Maze and Manic Miner and Jet Set Willy, sprite graphics innovation on the Z80 chip, first internship at Domark publishing Empire Strikes Back on ZX Spectrum and Commodore 64, second internship at IBM Hursley Park working on CICS in PL/1 and Rexx, the contrast between casual game studio culture and IBM corporate culture in the 1980s, IBM's role as a founding partner of J2EE Enterprise Java, JMS wrapping MQ Series, the reliability of MQ Series compared to later messaging technologies, finding and reporting a concurrency bug in MQ Series with JUnit tests and IBM's rapid response with an emergency patch, IBM alphaWorks portal and experimental technologies, IBM Aglets mobile Java agent framework compared to modern A2A agent protocols, Jini and JavaSpaces from Sun Microsystems with leasing and self-healing, JXTA peer-to-peer technology, IBM Jikes Compiler performance compared to javac, IBM's own JVM, JVM running on Palm Pilot around 1999, VisualAge for Java as a port of VisualAge for SmallTalk with its image-based architecture and no file system exposure, Java's coupling of class and package names to files and directories as a design weakness, the difficulty of refactoring without IDE support, Eclipse as the first IDE with proper refactoring, NetBeans IDE performance compared to Visual Studio Code, third internship writing X-ray machine control software in Turbo Pascal doing digital image processing, the pace of technological innovation slowing from kaikaku (abrupt change) to kaizen (continuous improvement), Douglas Adams quote about technology perception by age, DEC Alpha 64-bit Unix performance, commodity Linux hardware replacing exotic RISC machines, Apple M series chips rediscovering RISC Architecture and system-on-chip design, innovation fatigue and signal-to-noise ratio in modern tech, LLMs and the trillion-dollar bet on the wrong technology, electric cars as an example of ongoing innovation, Tailwind CSS shutting down due to AI-generated code replacing paid expertise, Stack Overflow in trouble due to AI summarization, open source innovation continuing with tools like Astral's uv replacing the python toolchain, cross-community collaboration between rust and Python and Ruby ecosystems, first graduate job at Crossfield (Fuji/DuPont joint venture) doing electronic pre-press and color transformation through 4D CMYK color cubes, writing a TIFF decoder from scratch in C, Raster Image Processor technology and its connection to Adobe, transition from C++ to Java feeling quirky, joining ThoughtWorks in 2002 for enterprise Java work Daniel Terhorst-North on twitter: @tastapod.com

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

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

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

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

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:

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)

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.

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.

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.

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.