AI code review tools like coderabbit and copilot, or even pointing claude code at a PR are all generally pretty good at finding bugs and style nits, but less good at finding duplicate code, module cross coupling, bad separation of concerns, and so on, even if prompted to do so.
I'm finding that github's PR interface is not really cutting it for me, it was janky even when the reviews were small, but now at the size they're at, it is becoming unmanageable. Add to that the extra noise of mixing in agent reviews, and people "meat-proxying" in copy-pasted agent output, and it's getting pretty noisy and difficult to navigate.
What have you all found that works well for streamlining human review of AI assisted code? Tools and process suggestions are welcome.
The problem is with full on misses that I’d be able to catch by going line by line. The more static analysis and style enforcement the better - I’m still not sure whether it will come out as a benefit, esp when you consider cost of tokens. AI often creates its own extra work alongside the benefits, and it’s a bit like nicotine in that it works for a minute but then you’ll need to keep applying it to even return to baseline.
0: https://github.com/jacquardlabs/gauntlet
Sometimes I'll prompt again to scrutinize further.