
Red, Green, Refactor… and AI: How I Turned AI Into a Reliable Pair Programming Partner
TL;DR AI generates code fast, but without structure it produces bloated PRs, unnecessary abstractions, and code nobody understands. I applied TDD as a framework for human-AI collaboration: one failing test, minimum code to pass, refactor, repeat. A guidelines file trains the AI to follow the cycle, and a set of context files give it project memory between sessions. The result: smaller PRs, faster reviews, real ownership, and predictable quality. The human thinks, the AI implements. At the end of the article you'll find an example of the guidelines I give the AI to work together doing TDD. Sound useful? Let's dive in. More and more teams are integrating AI into their development cycle. But since it's still a recent technology for many, we don't always know how to turn it into a reliable and reproducible working method. This article comes from a talk I gave at work, which was well received by over 250 developers from different projects (The Walt Disney Company, FIFA, Verizon, ...). The f
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