The Weekly Dev's Brew

The people building AI developer tools have stories most of us never hear. Stories of failed experiments, unexpected wins and workflows they swear by. The Weekly Dev's Brew host Jan-Niklas Wortmann pulls those stories out through honest conversations about what AI actually changes for developers and how we write software.

The Weekly Dev's Brew is a education podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts The Weekly Dev's Brew, a education show with 0 episodes published.

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  Episode #21

  Dex Horthy - What Actually Gets You 2-3x With AI Coding

  Aug 13, 20261h 39mS0

  You can't get 10x with AI coding. Not today. Dex Horthy (Human Layer) makes the case for 2-3x if you refuse to ship slop, and why a perfect spec still produces garbage if you give the model permission to skip quality. That permission is how you burn a codebase into ash. We get into context engineering, where AI coding actually fails, why PR review is the bottleneck, how to use specs without worshipping them, cheap models vs Opus, compaction and sub-agents, and what to tell a 20-year engineer who is not living on Twitter. Dex is the founder of...

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  Episode #20

  How To Ship Real Code With AI (Not Junk) ft. David Cramer

  Jun 30, 20261h 17mS0

  Everyone is selling 100x developer productivity, but David Cramer runs production software at Sentry and says LLMs are not making his own work faster. We talk about what actually holds up when AI meets real codebases, security review, open source economics, and why verification beats generation. <p>Everyone is selling 100x developer productivity, but David Cramer runs production software at Sentry and says LLMs are not making his own work faster. We talk about what actually holds up when AI meets real codebases, security review, open source economics, and why verification beats generation.</p> <p>Show notes, transcript, and links...

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  Episode #19

  Faster Isn't Better — Mario Zechner on Everything AI Made Us Forget (creator of Pi)

  Jun 12, 20261h 17mS0

  <p>Mario Zechner has watched people generate 500,000 lines of code in a week with a swarm of agents. He'll tell you exactly how that ends.Mario is the creator of Pi, the minimal, self-modifying coding agent that took off after Claude Code stopped fitting his workflow. He now builds it alongside Armin Ronacher at Earendil. This one is a grumpy, honest conversation about where AI coding is actually heading, and the places the hype quietly falls apart.We get into:- Why "code is never free," and how a lot of today's productivity just delays the bill- The case that...

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  Episode #18

  A Google Engineer's Honest Take on AI, Angular, and the Future of Your Career

  May 22, 202655 minS0

  <p>In this episode, I sit down with Minko Gechev — Google Engineer, former Angular team lead, and one of the most thoughtful voices on AI and developer productivity.We get into why AI won't replace engineers anytime soon (and what that actually means for your career), how Google's Angular team is affected by AI, the security risks of the current AI coding wave, and the single most valuable skill developers should be building right now.If you're a developer trying to figure out where you fit in the age of AI, I hope this one helps you.Connect with Minko:X...

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  Episode #17

  Microfrontends: Cutting Through the Hype and Misconceptions (w/ Luca)

  Sep 18, 20251h 11mS0

  <p>Micro-frontends promise to help teams scale development, but AWS Principal Architect Luca Mezzalira has seen some succeed and some just fall apart. In this conversation, he shares what he's learned from years of implementation work at companies like DAZN and through consulting with Fortune 500 organizations.<br/>Luca explains why micro-frontends are fundamentally different from components—something many teams get wrong from the start. He discusses the common pitfalls he encounters: teams treating them like distributed components, sharing state across boundaries, and copying architectures from companies with completely different constraints and resources.<br/>The discussion covers practical implementation details—from comm...

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