Summary

What does it actually look like to hand 90% of your workday over to an AI agent you built yourself?

Sterling Chin, founding DevRel at Inngest and creator of Marvin, an open-source AI chief of staff with nearly 1,000 GitHub stars, has been doing exactly that for months. In this episode, Sterling joins Brittany to talk through how Marvin works, why he built it, and what he's learned about the real friction points in AI adoption that most people don't talk about.

Sterling came into tech through a coding bootcamp after studying elementary education at BYU, landed at Postman where he led the R&D labs team, went viral on LinkedIn for posts about their AI assistant PostBot, and accidentally became a DevRel engineer because of it. Now at Inngest, he's the founding DevRel hire, and still building in public constantly.

Links

• Sterling's Website: https://sterlingchin.com/
• Sterling's LinkedIn: https://www.linkedin.com/in/sterlingchin/
• Sterling on GitHub: https://github.com/SterlingChin
• Sterling on Bluesky: https://bsky.app/profile/sterlingchin.bsky.social
• Sterling on Twitter: https://x.com/SilverJaw82
• Marvin: https://github.com/SterlingChin/marvin-template
• Sterling on YouTube: https://www.youtube.com/@SterlingChin
• Sterling on Substack: https://sterlingchin.substack.com/
• Web Dev Challenge Episode: https://www.youtube.com/watch?v=X2sEoZG8EIw&list=PLz8Iz-Fnk_eTkZvSNWXW_TKZ2UwVirT2M&index=17
• Inngest: https://www.inngest.com/
• AI Crimes in Production: https://ai-crimes-in-production.com/

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Hosts

• Overcommitted: https://overcommitted.dev
• Brittany Ellich: https://brittanyellich.com

AI is generating more code than ever, but most engineers aren't verifying it. Sonar Staff AI Researcher Joe Tyler shares breakthrough findings from his LLM Leaderboard research on code quality, the hidden "coding personalities" of different models, and why the real bottleneck in software engineering isn't writing code: it's securing and reviewing it. Discover the gap between developer distrust and actual verification practices, plus how to position yourself for the verification-first future of software development.

Topics: AI code quality, LLM research, software engineering careers, code verification, developer tools

Show links:

• Sonar LLM Leaderboard: https://www.sonarsource.com/the-coding-personalities-of-leading-llms/leaderboard/
• Sonarqube: https://www.sonarsource.com/products/sonarqube
• Sonarsweep: https://www.sonarsource.com/products/sonarsweep/
• Joe's LinkedIn: https://www.linkedin.com/in/joe-tyler-a668051b1/
• Latent Space: https://www.latent.space/
• Turing Post: https://www.turingpost.com/
• Nathan Lambert: https://substack.com/@natolambert
• Cameron Wolfe: https://substack.com/@cwolferesearch
• Sebastian Raschka: https://substack.com/@rasbt
• Andrew Ng: https://www.andrewng.org/

Summary

Software engineering career moves don't have to be a lottery. In this episode, Adam Argyle breaks down why the technical interview process is fundamentally broken, how design engineering skills actually transfer across roles, and the tactical job search playbook that works today. Whether you're navigating a career pivot, re-entering the market, or just frustrated with the hiring gauntlet, this conversation cuts through the noise on what really matters for career growth and staying sane.

Links

• Adam’s Website: https://nerdy.dev/
• Adam’s CascadiaJS 2025 talk: https://www.youtube.com/watch?v=QW6GECIzvsw
• 10 powerful ways to use CSS variables article: https://nerdy.dev/custom-prop-categories
• Sizzle Rizzle: https://nerdy.dev/sizzle-rizzle

Hosts

• Overcommitted: https://overcommitted.dev
• Bethany Janos: https://github.com/bethanyj28
• Brittany Ellich: https://brittanyellich.com
• Erika Eggemeyer: https://github.com/eggyhead