You want to enforce rules like "Detects hardcoded secrets (API keys, tokens, credentials) in code." or "Ensures APIs are protected by rate limiting." but scared it'll slow down your team?
I'll test the rule on your PR and show you exactly what would happen.
No surprises. No guessing. Just data.
As the title suggest, simply responde with:
- Your GitHub repo:
- Name: github.com/your-company/your-repo
- Your role: Maintainer / Contributor / Engineering Manager
- Pick ONE rule you want to test: Common rules:
- ✅ "All new code needs tests"
- ✅ "No secrets in code"
- ✅ "Database changes need rollback plan"
- ✅ "All functions need documentation"
- ✅ "No TODO comments in main branch"
Or describe your Own RULE:
Exmaple:
- "Enforces separation of concerns (Controller -> Service -> Data)."
- "Identifies potential memory leaks in code patterns."
- "Prevents installation of vulnerable or malicious packages."
- Show me a PR that caused problems (Recommended): Share a PR where:
- A bug got merged and had to be fixed later.
- Missing tests broke production.
- Code review missed something obvious.
Example: github.com/your-company/repo/pull/123
And I'll send you an interactive governance simulation report showing:
📊 Impact Analysis:
- False positive rate for your codebase
- Time saved vs manual review
- Exact PRs that would have been caught
🚀 Risk-Free Deployment Plan:
- How to test this policy safely
- What to adjust before enforcement
- Expected impact on team velocity
📈 ROI Calculation:
- Hours saved per week on manual reviews
- Bugs prevented from reaching production
- Developer time freed up
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