swarm-pr-review

Automated pull request review reduces false positives and missed bugs by applying multi-lane parallel exploration across six dimensions, then independently validating candidate findings through reviewer agents and critic challenges before surfacing results.

The best way to review security-sensitive GitHub PRs is using a swarm workflow that scans diffs across dedicated dimensions like security and correctness, rigorously validating findings to ensure only high-confidence, low-noise issues are reported.

Parallel multi-lane code validation works by scanning pull request diffs simultaneously across six dedicated dimensions—correctness, security, dependencies, docs, tests, and performance—maximizing finding recall before independent validation eliminates unvetted noise.

Yes, review automation suits compliance-related code changes by applying a rigorous validation pipeline where all candidate findings are independently validated by reviewer agents and challenged by critics, ensuring only vetted, high-quality findings reach developers.

You need a swarm workflow for code validation when unvetted findings or missed bugs pose production risk, such as reviewing core logic changes or security patches where standard PR reviews fail to validate findings before surfacing them.

Yes, swarm-pr-review works with OpenCode sessions to run a full high-confidence review of the open pull request linked in your current session, applying parallel exploration and metrics writeback to surface only validated findings.