After using both tools heavily, what changed about your code review process?

After using AI coding tools heavily, the most significant change wasn't code quality itself but reviewer behavior. AI-generated code tends to look clean syntactically, but dangerous bugs hide in timing assumptions, missing back pressure, and execution order issues. Cloud-based AI tools encouraged reviewers to slow down and inspect intent, while Codex pushed teams toward speed due to fast output. The key lesson: stop reviewing syntax first and focus on intent and logic instead.