Could Kent Beck 🌻's "test && commit || revert" process (TCR) be a powerful method for learning how to program with AI? In my new "Works on My Machine" video (newsletter link in bio!), I demo an agent I built to follow the TCR process where I write the tests and an LLM generates

Const_missing and AI: A Ruby Metaprogramming Experiment Intrigued by the idea of AI-powered metaprogramming? In my latest "Works on My Machine" video (ubstack link in bio!), I delve into a wild Ruby experiment: using const_missing and caller_locations to get an LLM to generate

A Vibe-code to User Stories Pipeline using Bolt, Cucumber, and Asana Intrigued by "Vibe Coding" but put off by the idea of just letting the AI loose to build software? In my latest "Works on My Machine" video, I delve into a experiment using bolt.new, Grok, Cucumber, and

Polymorphism is a Force Multiplier for AI: Your code is your prompt Last week, we looked at bridging "vibe coding" with product processes. This week on "Works on My Machine," we tackle a related challenge: how do you get AI to continue generating code as your codebase scales?

Introducing Monkey's Paw 🐒✋ – a prompt-driven web framework in Ruby where your page descriptions are the source code. You write your wishes in markdown files in your wishes folder, and an LLM grants them... exactly as you state them. This is the first release in the "Works on

Wasting Inferences: Auto-Fixing Bugs with an LLM Swarm (for < 10¢!) Steve Yegge's "Revenge of the Junior Developer" predicts Agent Clusters/Fleets emerging around 2026. But what if we could experiment with that core idea today? This week on "Works on My Machine," I explore