ce-code-review

You can automate code review before a pull request by running the ce-code-review skill with a PR link. It evaluates code changes using tiered persona agents and provides structured findings based on confidence levels to ensure quality and compliance.

Yes, automated code review can apply fixes to your code changes automatically. The process utilizes fixer scripts to apply safe_auto fixes directly to the evaluated code changes, resolving detected issues without manual intervention.

Structured code review evaluates code changes using tiered persona agents, generating findings gated by confidence levels. It utilizes a merge and deduplication pipeline to consolidate results, ensuring structured and reliable quality assurance.

Yes, you need Python, Git, and the GitHub CLI (gh) installed to run automated code review. These dependencies are required to execute the scripts, interact with version control, and process pull requests within the software development workflow.

The best way to ensure quality assurance in a pull request workflow is to automate code review before submission. This approach applies tiered persona agents and fixer scripts to identify issues and apply safe fixes, ensuring compliance with project standards.

Confidence levels in automated code review gate the findings and automated fixes applied to code changes. The system only applies safe_auto fixes based on these confidence thresholds, meaning low-confidence issues may be flagged but not automatically resolved.