codex-parallel-review

Multi-agent code review deploys multiple Claude agents and a Codex subprocess to simultaneously analyze code correctness, security, performance, and maintainability. The agents then debate any conflicting findings to resolve discrepancies and generate a final consensus report.

You can automate code review across full-codebase, working-tree, or branch modes. The process uses configurable effort levels and debate rounds to evaluate the specified Git state before generating a consensus report for pull request merging.

Yes, integrating the codex-review skill pack and having the Codex CLI installed are required. The parallel review process relies on the Codex CLI to execute the subprocess needed for multi-agent debate and consensus reporting.

Yes, the parallel review process uses four Claude agents to simultaneously check correctness, security, performance, and maintainability. A Codex subprocess joins this review to facilitate debate on any disagreements found.

The best way to resolve conflicting findings is through automated multi-agent debate. The system identifies disagreements between the AI reviewers, debates them through configurable rounds, and outputs a consensus report with agreed issues and unresolved points.

A limitation is that the debate process may leave unresolved points for human decision. While the system resolves many conflicting findings automatically through configurable rounds, the final consensus report still highlights issues requiring manual user review.