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To automate GLM-5 code review, you can run the glm-review command with the model set to glm-5. This initiates the review process and systematically re-verifies the findings to ensure only valid issues are output for tracking.

The best way to re-verify Codex code review results is by applying a secondary GLM-5 review. This validates the initial findings against the actual code, filtering out false positives and outputting only confirmed issues for your tracking system.

Yes, you can use GLM-5 to triage code review issues automatically. The validation process checks the detected findings against the codebase and outputs only the confirmed issues, streamlining the triage phase of your software quality assurance.

GLM-5 code review is specifically designed for software projects upgrading to higher-model passes. It enforces the use of glm-review with the glm-5 model to perform deep code analysis and validate findings during the upgrade transition.

A secondary AI-assisted review is necessary for issue tracking to prevent false positives from entering your workflow. By validating findings against the code, it ensures that only confirmed issues are tracked, maintaining high software quality.