coderabbit

Fetch CodeRabbit review comments for current PR, analyze all issues, apply fixes automatically, and commit changes. Integrates CodeRabbit's AI code review directly into workflow.

1. Identify PR context: Get current branch name, determine associated GitHub PR (if exists), if no PR exists check for uncommitted changes to review
2. Fetch CodeRabbit review: Use CodeRabbit MCP to fetch review comments for PR, if no PR exists create review context from current changes, group comments by file/severity (critical/high/medium/low)
3. Analyze and prioritize: Review each CodeRabbit comment for context/reasoning, categorize issues (bugs/security/performance/style/documentation), prioritize critical/high-severity issues first, note issues requiring clarification or cannot be auto-fixed
4. Apply fixes: Fix issues file by file starting with highest priority, follow project coding standards/rules (see .cursor/rules/), ensure fixes address root cause not symptoms, run linting after each significant change: pnpm lint:fix, verify fixes don't introduce new issues
5. Verify changes: Run linting: pnpm lint (skip if only markdown files changed), check for compilation errors, ensure tests still pass (if applicable), review diff to confirm all issues addressed
6. Commit fixes: Stage all fixed files, create commit with descriptive message: fix: address CodeRabbit review comments, include summary of fixes applied, reference specific issues if helpful