We just released a new episode of the StaffEng podcast with Karynn Ikeda from Babylist. One of the more grounded looks I’ve seen at how AI actually gets adopted inside an engineering org. They started with a six-week pilot on a single team, then expanded based on how it changed real workflows. That eventually led to broader adoption of Claude Code and bringing PMs and designers closer to the codebase. One detail that stood out: Teams described a return of joy in their work — less friction in execution, more room to explore. Worth a listen if you’re thinking about how this plays out beyond individual usage. Check out the full episode here: Apple: https://lnkd.in/enVvHsfu YouTube: https://lnkd.in/ehWGxU5x

Drop the “code reds,” OpenAI needs to pick a lane and lock in. #OpenAI The LightShed Podcast, Ep. 306. With Brandon Ross and Rich Greenfield.

A teaser episode of the next Learning Rabbithole podcast episode just dropped! Is it a shameless plug for podcast reviews? Yes. Is it worth your time? Also yes, if you’ve been exploring LLMs and wondering how/why/when to use the “Claudes”… chat, cowork, code. If you’re in instructional design or customer education and wondering how to keep your job as AI continues to take over everything, well…I’m there with you but feeling pretty optimistic, and I’ll go into the “why” in that episode. Go smash that follow button, leave a rating/review, and hit that notification bell (or whatever) to get alerted when the actual episode hits the virtual airwaves.

Podcast alert! A very cool one, featuring some very interesting colleagues. In the new SIGNAL podcast, Werner Heijstek sits down with our own CEO, Luc Brandts to talk about Agentic AI in software engineering. It's impressive, it's fast, and it works best with a human-in-the-loop, but... what happens when that loop moves too fast for humans to keep up? Full episode available at Software Improvement Group

In the new SIGNAL podcast, Werner Heijstek sits down with Luc Brandts to talk about Agentic AI in software engineering. It's impressive, it's fast, and it works best with a human-in-the-loop, but... what happens when that loop moves too fast for humans to keep up? Full episode available at Software Improvement Group PS. We're thinking about adding explosions and special effects to these trailers, what do you think?

Episode #3 of Tech Nerds...But Not Really with Joshua Karrasch and Jacob Artz is live. In this episode, we discuss the "crawl, walk, run" approach. The "crawl, walk, run" approach is an iterative, phased framework for implementing new strategies, technologies, or processes by starting small (crawl), building competency (walk), and scaling for full adoption (run). Some other analogies that were used in the podcast: "Seed and grow." "Land and expand." "Too much, too fast." "Forming, Storming, Norming, Performing, and sometimes Adjourning." A special thanks to our sponsor, K-Town Pit Que (www.ktownpitque.com). **Link to episode #3 in the comments**

It's never been easier to build fast. But speed can be a trap. Axel Sooriah sat down with Cemre Güngör, Head of Product at The Browser Company, and one pattern keeps showing up on great product teams, even now: don't fall in love with the solution. Fall in love with the problem. With AI making it so easy to prototype, it's tempting to skip straight to building. But the best teams still work backwards. They ask: What problem are we actually solving? What's the real opportunity for people? That discipline doesn't change, no matter how fast your tools get. 🎬 Full episode on YouTube, and wherever you get your podcasts: https://go.atlss.in/fd7367

It's never been easier to build fast. But speed can be a trap. Axel Sooriah sat down with Cemre Güngör, Head of Product at The Browser Company, and one pattern keeps showing up on great product teams, even now: don't fall in love with the solution. Fall in love with the problem. With AI making it so easy to prototype, it's tempting to skip straight to building. But the best teams still work backwards. They ask: What problem are we actually solving? What's the real opportunity for people? That discipline doesn't change, no matter how fast your tools get. 🎬 Full episode on YouTube, and wherever you get your podcasts: https://go.atlss.in/fd7367

It's never been easier to build fast. But speed can be a trap. Axel Sooriah sat down with Cemre Güngör, Head of Product at The Browser Company, and one pattern keeps showing up on great product teams, even now: don't fall in love with the solution. Fall in love with the problem. With AI making it so easy to prototype, it's tempting to skip straight to building. But the best teams still work backwards. They ask: What problem are we actually solving? What's the real opportunity for people? That discipline doesn't change, no matter how fast your tools get. 🎬 Full episode on YouTube, and wherever you get your podcasts: https://go.atlss.in/fd7367

It's never been easier to build fast. But speed can be a trap. Axel Sooriah sat down with Cemre Güngör, Head of Product at The Browser Company, and one pattern keeps showing up on great product teams, even now: don't fall in love with the solution. Fall in love with the problem. With AI making it so easy to prototype, it's tempting to skip straight to building. But the best teams still work backwards. They ask: What problem are we actually solving? What's the real opportunity for people? That discipline doesn't change, no matter how fast your tools get. 🎬 Full episode on YouTube, and wherever you get your podcasts: https://go.atlss.in/fd7367