What problem does it solve?
It helps you review code in a way that improves long-term codebase health by focusing on what truly matters and giving actionable feedback.
Core Features & Use Cases
- Review the right layer first: evaluate design and functionality before style to avoid wasting time on low-impact issues.
- Catch correctness, error handling, security, and scalability: prioritize algorithm soundness, security implications, and acceptable performance.
- Write feedback that moves the change forward: use clear severity labels, one comment per concern, and language that suggests improvements without dictating.
- Use cases: reviewing PRs and diffs, assessing sub-agent code for ship readiness, and self-reviewing before delivering changes.
Quick Start
Ask an AI reviewer to review the following pull request with emphasis on design correctness, functionality and error handling, security implications, test coverage, and only then style according to the project’s conventions.