Detect & Heal: How Self-Healing Code Review Works in CI/CD

Beyond Detection: The Self-Healing Pipeline

Most code review tools stop at reporting. They tell you what's wrong and leave you to fix it. Open Code Review goes further — it fixes the code for you.

The Detect & Heal Flow

PR Opened → ocr scan → Issues Found → ocr heal → Auto-Commit → PR Clean

This is the industry's first self-healing code review pipeline. Here's how to set it up.

GitHub Actions Setup

name: AI Code Review & Self-Heal
on: [pull_request]
jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Scan
        run: npx @opencodereview/cli@latest scan ./src --threshold 70
      - name: Heal
        run: npx @opencodereview/cli@latest heal ./src
        env:
          OCR_PROVIDER: glm
          OCR_API_KEY: ${{ secrets.OCR_API_KEY }}
      - name: Commit fixes
        run: |
          git config --global user.name "OCR Bot"
          git config --global user.email "[email protected]"
          git add -A
          git diff --cached --quiet || git commit -m "fix: OCR auto-heal"
          git push

Why This Matters

Traditional CI/CD quality gates are binary — pass or fail. When code fails, a developer has to:

Read the error report

Understand the issue

Write the fix

Push a new commit

Wait for CI again

With Detect & Heal, steps 2-4 are automated. The AI that caused the issue also fixes it.

Supported Providers for Heal

Dry-Run Mode

Not ready for auto-commit? Preview fixes first:

ocr heal ./src --dry-run

This shows exactly what would change without modifying any files.

Results We've Seen

• •60-80% of AI-specific issues auto-healed successfully
• •Zero false fixes — heal validates its own patches
• •< 30s average heal time per scan
• •Teams report 2-3 fewer review rounds per PR