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My experience with using AI tools for code review is that they do find critical bugs (from my retrospective analysis, maybe 80% of the time), but the signal to noise ratio is poor. It's really hard to get it not to tell you 20 highly speculative reasons why the code is problematic along with the one critical error. And in almost all cases, sufficient human attention would also have identified the critical bug - so human attention is the primary bottleneck here. Thus poor signal to noise ratio isn't a side issue, it's one of the core issues. As a result, I'm mostly using this selectively so far, and I wouldn't want it turned on by default for every PR. |
Nail on the head. Every time I've seen it applied, its awful at this. However this is the one thing I loathe in human reviews as well, where people are leaving twenty comments about naming and then the actual FUNCTIONAL issue is just inside all of that mess. A good code reviewer knows how to just drop all the things that irk them and hyperfocus on what matters, if there's a functional issue with the code.
I wonder if AI is ever gonna be able to conquer that one as its quite nuanced. If they do though, then I feel the industry as it is today, is kinda toast for a lot of developers, because outside of agency, this is the one thing we were sorta holding out on being not very automatable.