Haystack helps engineering teams manage the growing volume of AI-generated pull requests.
Coding agents make it much easier to produce code, but they also create a new problem: teams now have more changes to review, many of them larger, more frequent, and harder to trust at a glance.
Haystack sits on top of GitHub and acts as the control layer for AI-generated code changes. For every pull request, it looks at the codebase, the diff, the agent trace, the author’s intent, and any verification evidence like tests, logs, commands, or screenshots.
Then Haystack decides what should happen next: whether the change can move forward, needs fixes, or should be reviewed by a human.
Teams use Haystack to keep code moving without turning review into rubber-stamping. It helps them merge more code, focus human attention on the changes that actually need judgment, and maintain quality as AI-generated work becomes a bigger part of development.