AI-Generated Code Requires a Different Code Review Process

Code review for AI-generated code is different. A pull request can look syntactically perfect, pass all local tests, and still be wrong in a way that is hard to notice. Our review habits, built over years of reading code written by other people, are not prepared for this. We are used to looking for logic errors or style issues. What changes now is that AI can generate hundreds of lines of code that look correct at first glance, but were built on the wrong assumptions. This changes where the bottleneck in software development sits. Writing code is no longer the slowest part. Verifying what was generated is. When a developer can generate large volumes of code, the reviewer’s job shifts from fixing mistakes to validating intent. The cost of a superficial review changes as well. It stops being a small bug and can become an architectural flaw, a security risk, or a performance issue that only appears in production. The costs of trusting AI-generated code The immediate productivity gains fro