@glyph under appreciated empirical review of code review on software quality: https://rebels.cs.uwaterloo.ca/papers/emse2016_mcintosh.pdf

i don't think this often gets talked about in systems that use Gen AI! Humans are pretty ineffectual at preventing errors through code review. What effect exists seems to disappear, as you point out, after reading so much code in a short time frame.

We're _accountable_ for the output of these systems! Code change is expensive because we're supposed to be protecting the liability of the company from shipping code changes that harm businesses, lose money, etc.

Code review, I agree, is a social process. If you like Peter Naur's theory building stuff... it's a great way to build collective understanding of the theories.

Thanks for sharing!