I've been using AI agents for code review for about six months now, and the experience has been... complicated. Here's what's actually happening on the ground. The Promise The pitch is seductive: an AI agent that reads your PR, finds bugs, suggests improvements, and does it all in seconds. Companies like GitHub, CodeRabbit, and Snyk have been pouring millions into this vision. The demos look incredible. But demos aren't production. What Actually Happened When I Deployed Agentic Code Review In January, I set up an AI code review agent on our team's GitHub repos. The initial week was magical — it caught a null pointer dereference in a critical path that three human reviewers had missed. I was sold. Then things got weird. The False Confidence Problem By week two, I noticed the agent was confidently approving code that had subtle race conditions. It wasn't wrong in a way that was detectable — it was wrong in the way that a junior developer with great syntax knowledge but limited systems experience is wrong.…