Rethinking AI Code Review: Moving Beyond Reactive Approaches

The article discusses the limitations of a structured AI code review pipeline, as exemplified by Y Combinator CEO Garry Tan's shared Claude prompt. It proposes a three-layer hierarchy for controlling AI-generated code: review, enforcement, and intent.

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The article discusses the author's experience with Garry Tan's structured Claude code review prompt, which forces the AI through a multi-step process of architecture, code quality, testing, and performance checks. While this approach caught some issues the author had been overlooking, it also became a time-consuming process of constantly reviewing the AI's work. The author realized that this was essentially using AI to generate more review work for the developer, rather than streamlining the coding process. The article then proposes a three-layer hierarchy for controlling AI-generated code: review (catching mistakes after), enforcement (blocking mistakes during), and intent (preventing mistakes before). The author argues that the intent layer, where the AI's understanding of the project is shaped upfront, is the most impactful but often overlooked approach. By focusing on the intent layer, developers can prevent mistakes from being conceived in the first place, rather than just course-correcting after the fact.