Code Review Tools Built for AI-Generated Output
Coding agents make it easy to produce large amounts of code quickly. This creates a new problem: engineering teams now review more changes, more often, and many of those changes ar...
Coding agents make it easy to produce large amounts of code quickly. This creates a new problem: engineering teams now review more changes, more often, and many of those changes are large and not obviously trustworthy. Existing review tools like GitHub's PR diff view were designed for humans reading a few hundred lines at a time. They do not scale to agent-generated pull requests that touch dozens of files.
The opportunity is a review tool that understands AI-generated code specifically. It can flag structural issues, check whether the change is consistent with the rest of the codebase, and give reviewers a confidence score. Teams are already paying for this kind of insight manually. A tool that does it in seconds would save hours per week per engineer.