how are engineering teams managing pull request noise when using coding agents?

Using AI assistants has definitely helped our team ship new features faster over the past few months. however, the volume of generated code in pull requests has nearly doubled, making manual code reviews feel overwhelming.

​since the code looks visually clean on the surface, reviewers sometimes skim through subtle logic issues that used to get caught during standard manual reviews.

​how do engineering leads maintain strict code review quality when most of the PR contains auto-generated snippets?