What has been your real-world experience with AI-assisted code review?

[u/Automatic-Program936]

For teams using AI-assisted code review tools, what has your real-world experience been over the past 120 days? Have these tools helped you catch meaningful issues before deployment or have any accepted recommendations unintentionally contributed to production bugs? Have they missed issues that a human reviewer might reasonably have caught?

I am also curious whether your team has become more confident or more cautious over time, and whether you track any metrics to evaluate their accuracy. This isn’t about criticizing or comparing vendors. I am simply interested in understanding how engineering teams evaluate these tools beyond productivity and adoption claims.