The Weekly Dev's Brew

Join host Jan-Niklas Wortmann in 'The Weekly Dev's Brew, where we explore the latest in web development, JavaScript, TypeScript, and emerging technologies. Engage in coffee shop-style conversations with industry experts to learn about frameworks like React, Vue, Angular, and everything remotely related. Follow us on social media for more insights https://www.weeklybrew.dev/

The Weekly Dev's Brew is a technology podcast hosted by The Weekly Dev, with 17 episodes on record and a Required Pod Score of 80.

The Weekly Dev hosts The Weekly Dev's Brew, a technology show with 17 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  The Weekly Dev's Brew

  Why AI agents belong in the sandbox | Darren Shepherd

  Sep 24, 20261h 33m

  Why buy a sandbox when you can just launch a container? Darren Shepherd spent years at Rancher building on Kubernetes, so sandboxes looked dumb to him. Then he built his own coding agent to run 15 things in parallel without work-tree chaos, and the most interesting part of it turned out to be a sandboxing system. He had proved himself wrong. The sharp part is where the sandbox boundary goes. The common pattern keeps the agent loop outside and sandboxes only its tool calls. Darren calls that completely flawed, because the loop itself directs code that holds secrets and talks to external systems. His answer: put the agent and its tools in one sandbox, with one policy for secrets and egress. Darren is on X and GitHub at @ibuildthecloud. https://obot.ai/ Where does your boundary sit: around the agent itself, or only around the tools it calls?

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  Episode #22

  Why AI Coding Made Me More Productive - And Less Happy | Dillon Mulroy

  Sep 10, 20261h 5m

  Why did AI coding make Dillon Mulroy more productive and less happy? He stopped writing most of his own code after Claude Opus 4.5. Six months later he ships more than he ever has, still reads every line, and enjoys the work less. The small implementation hits that used to create flow are gone. The day is now one hard design problem after another, and that is more exhausting. Dillon is a principal engineer at Cloudflare. This episode answers what Cloudflare's May layoff of about 1,100 people looked like from inside, why lab-style agent loops are a poor default for most teams, and how he keeps a model on a short leash with Ghostty, Herdr, Pi, and Plannotator. Specs are TypeScript types, call stacks, and tests. Pull requests stay in the 300 to 800 line range. He uses Pi's slash tree instead of sub-agents. Dillon is on X at @dillon_mulroy, GitHub at @dmmulroy, and Twitch at @dillon. https://dillonis.online

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  Episode #21

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

  Aug 13, 20261h 39m

  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 Human Layer. https://humanlayer.dev

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  Episode #20

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

  Jun 30, 20261h 17m

  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.

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  Episode #19

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

  Jun 12, 20261h 17m

  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 spec-driven development is hyper-waterfall, repeating a mistake the industry thought it solved 30 years ago- Why an army of parallel agents wrecks his brain, and the "absolute caveman" workflow he actually uses to ship- Running AI fully local on a normal MacBook, and why that future is closer than most people think- The clanker problem- What we lose when AI strips out the friction we used to learn fromThe tension we kept circling: agents make exploring solutions faster than ever, but the thinking was always the hard part, not the typing. 0:00 Intro2:20 Why Pi Fits Workflows8:53 What Success Looks Like for Pi10:58 Building Beyond the Coding Agent13:13 Local AI Is Getting Real20:13 How Mario Actually Works26:38 Discipline, Atrophy, and Juniors29:08 Spec-Driven Dev Is Just Hyper-Waterfall35:03 Code Isn't Actually Free37:56 Async Agents and Thinking Time44:42 Learning Without the Pain49:13 AI's Sloppy Software Wave52:11 GitHub Under Clanker Load53:31 Family, Work, and Balance57:05 The Pi Team and Leadership58:52 Refactoring Pi's Core1:03:32 Security, YOLO, and Trust1:06:27 Taming the PR Flood1:12:11 Token Prices and Budgets

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