Why Your AI Code Review Misses Logic Bugs (and a 4-Step Fix)

You added AI to your code review workflow. It catches unused imports, suggests better variable names, and flags missing null checks. But it keeps missing the bugs that actually matter: logic bugs. Here's why, and a four-step prompt strategy that fixes it. Why AI Misses Logic Bugs AI code review tools analyze code locally. They see the diff. They see the file. Sometimes they see a few related files. But they don't understand: What the feature is supposed to do (business logic) What the previous behavior was (regression risk) How this code interacts with the rest of the system (integration bugs) What the user expects to happen (UX implications) Without this context, AI reviews optimize for code quality — clean syntax, good patterns, consistent style. That's useful, but it's not where production bugs live. Production bugs live in the gap between what the code does and what it should do. The 4-Step Fix Step 1: Give the AI the Spec, Not Just the Code Before the diff, provide a 2-3 sentence