I’m trying to understand how AI tools (Copilot, ChatGPT, CodeRabbit, etc.) are changing code review.

** Has AI actually improved your code review process?** From what I’ve seen so far: Pros- Faster reviews, More issues surfaced,Helpful summaries for large PRs Cons- Misses business/architectural context, Extra time verifying suggestions, Risk of overreliance The real question: Is AI genuinely improving review quality or just shifting where the effort happens? Curious what you’re seeing in practice. If you’re open to sharing structured input, I’m collecting experiences here: https://uzhwwf.qualtrics.com/jfe/form/SV_bOWPgMH9lQm2Fme