Agent PRs are unreviewable — what first-pass actually helps vs just adding noise?
Heat trend
The percentage is based on available heat signal, not comment count or independent people.
Developers are struggling with unreviewable pull requests (PRs) generated by AI agents like Cursor, Claude, and Codex, which often involve 20-40 file changes. While AI review tools such as CodeRabbit and Copilot can catch real bugs, they also generate significant noise with suggestions like renaming or extracting code, leading human reviewers to ignore them. The community seeks effective first-pass AI review methods that genuinely help without overwhelming senior developers with irrelevant feedback.
Been shipping with Cursor / Claude / Codex. The diffs are 20–40 files, tests are green, and a human line-by-line review is a joke.
I have tried a couple of AI review passes (CodeRabbit, Claude as a second model, Copilot review). Some of it catches real bugs. A lot of it is rename-this / consider-extracting nits that people start ignoring.
What is actually working as a first pass for you before a human looks at it? What did you turn off because it was noise?
Not selling anything — I want the setup that doesn't make seniors mute the bot.