code-review-rules

To enforce consistent severity classification during automated code reviews, apply a structured governance system that categorizes findings into BLOCKER, MAJOR, MINOR, and NIT levels with explicit criteria. This ensures consistent quality and security assessments across pull requests.

A decision matrix for code review governance is a standardized verdict system that routes issues correctly through defined escalation paths. Auto-escalation automatically upgrades issue severity based on predefined rules, ensuring critical security and architecture violations trigger appropriate review workflows.

You can apply automated grep-based checks to enforce code quality standards in pull requests by loading governance rules that assess diffs. This automatically evaluates changes against architecture rules, security checks, and test coverage standards across multiple programming languages.

Yes, this automated code review governance works across multiple programming languages. It assesses diffs and enforces architecture rules, security checks, and test coverage standards regardless of the specific language used in the pull request changes.

To structure a step-by-step review flow for architecture and security checks, apply a standardized governance skill during pull requests. This provides integrated references for best practices and yields a ready-to-share handoff payload containing consistent findings and automated checks.

Yes, you can integrate automated code review checks into existing pull request workflows. The governance skill loads during code reviews to automatically apply severity classification, decision matrices, and diff analysis directly to your new changes.