Why AI Code Review Keeps Flagging the Wrong Things (and How to Fix It)

AI code review has a consistent failure mode: it surfaces generic issues and misses the ones that actually matter for your project. You paste a function. The AI flags potential null pointer issues, suggests adding error logging, recommends extracting a constant. These are fine observations — for a codebase it knows nothing about. But it misses the actual problem: this function violates the constraint that all auth-path operations must complete under 200ms, which you established three months ago