Summary

Dennis Pilarinos has spent nearly two decades building developer tools at Microsoft Azure, AWS, and Buddybuild (acquired by Apple). Now CEO of Unblocked, he's tackling the critical problem holding back agentic AI development: context intelligence. Why do AI coding agents keep guessing? Because they lack the organizational and business context behind the code. In this episode, the Overcommitted hosts dig into how developers and AI agents can truly understand the "why" behind codebases, not just the "what"—and why this matters for code quality, productivity, and shipping reliable tools.

Links

• Dennis' email: dennis@getunblocked.com
• Unblocked: https://getunblocked.com
• Dennis on X: https://x.com/dennispilarinos
• Dennis on LinkedIn: https://www.linkedin.com/in/dennispi/

Hosts

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

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/