Too Many Cooks: When Agents Disagree, Security Can Suffer

The common-sense assumption about AI code review is that more is better. If one reviewer is good, several reviewers are safer, and a few rounds of feedback should produce code that is more likely to be correct than a single pass. When we tested that assumption on a small pipeline, we found that, sometimes, the opposite can happen.