AI Won't Replace Code Reviews, But It Can Fix Them

AI can significantly enhance code reviews by providing the missing context that human reviewers often overlook, thus making both human and AI reviews more effective. The author describes an experiment where AI-generated comments by Claude added necessary intent explanations to code, which GitHub Copilot then used to make smarter review suggestions. This interaction between AI tools demonstrates that reviews often fail due to a lack of documented intent rather than problems with the code itself. The author argues that AI should be used to document code intent, as this practice can improve the quality of both human and AI feedback, creating a more informative and effective review process. While concerns about AI-generated comments potentially leading to inaccuracies exist, the benefits of having some context—albeit imperfect—outweigh the drawbacks, as it prompts deeper investigation and clarification. Ultimately, the author advocates for AI-driven documentation to become as standard as automated testing, ensuring that every code review is well-informed and comprehensive.