Uploaded July 2026 | Updated September 2026, 2 weeks ago
"The agent now has a repeatable process that I've given it on how I want it to conduct code reviews," says cloud architect and AWS Hero Kesha Williams, who brought a live demo to the AI Superstream showing exactly how to build that process from scratch. She covered how to structure a SKILL.md file with a name, description, and step-by-step instructions the agent follows every time; how to configure the review to flag issues across specific categories like security, testing, complexity, and style; and how to set a three-verdict rating system: ship it, needs changes, or needs discussion. She then ran the skill against a deliberately broken Python script packed with hard-coded credentials, SQL injection vulnerabilities on three separate routes, unauthenticated remote code execution, seven levels of nested webhook logic, plain text password storage, and a database connection that never closes, among other issues. The agent surfaced 17 separate problems and returns a clear verdict: do not deploy. If you've been prompting your agent ad hoc for code reviews and getting inconsistent results, this may be your solution.
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"The agent now has a repeatable process that I've given it on how I want it to conduct code reviews," says cloud architect and AWS Hero Kesha Williams, who brought a live demo to the AI Superstream showing exactly how to build that process from scratch. She covered how to structure a SKILL.md file with a name, description, and step-by-step instructions the agent follows every time; how to configure the review to flag issues across specific categories like security, testing, complexity, and style; and how to set a three-verdict rating system: ship it, needs changes, or needs discussion. She then ran the skill against a deliberately broken Python script packed with hard-coded credentials, SQL injection vulnerabilities on three separate routes, unauthenticated remote code execution, seven levels of nested webhook logic, plain text password storage, and a database connection that never closes, among other issues. The agent surfaced 17 separate problems and returns a clear verdict: do not deploy. If you've been prompting your agent ad hoc for code reviews and getting inconsistent results, this may be your solution.
Follow O'Reilly on:
LinkedIn: linkedin.com/company/oreilly
Facebook: facebook.com/OReilly
Instagram: instagram.com/oreillymedia
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![Inside the Code Factory: Ryan Carson Live with Tim O’Reilly
Ryan Carson has spent 25 years building developer communities, conferences, and Treehouse, which taught over a million people to code. His latest company, Untangle, is an AI-powered divorce assistant—and hes building it entirely alone. Just $2 million in seed funding, his guidance, and a team of agents running while he sleeps.
Ryan sat down with Tim to walk through the code factory powering Untangle: a system where agents write and review the code, run the tests, triage error reports, and monitor the production environment under his oversight. In their conversation, they covered the Ralph Wiggum loop (Geoffrey Huntleys deceptively simple technique for giving agents large goals across multiple context windows) and the power of primitive loops, how Ryan used Claude Design and a human designer to build a full design system he can now reproduce with AI, what attorneys really think about Untangle, the economics of running a company of agents, why the narrative that programming is going away gets the abstraction story exactly backwards, and why, even when you can automate nearly everything else, you still cant automate the judgment call about what to build.
There isnt a magic wand still, Ryan told Tim. You can build faster, but whether youre building the right thing, and doing it better, is something [else].
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BlueSky: https://bsky.app/profile/oreilly.bsky.social Inside the Code Factory: Ryan Carson Live with Tim O’Reilly](https://i.ytimg.com/vi/vHB_0RCDOWk/mqdefault.jpg)





