What does a healthy AI-generated codebase look like?

A healthy AI-generated codebase (grade A or B) has: proper error handling throughout, no hardcoded secrets, input validation on all user-facing endpoints, clear code structure with comments, updated dependencies, and at least basic tests for critical paths. Most Cursor/Bolt apps start at C or D — fixable with targeted work.

How is the AI Codebase Health Checker different from the Production Readiness Score?

The Health Checker (12 questions, 2 min) gives a quick overall grade on code quality, stability, and security. The Production Readiness Score (25 questions, 5 min) is a deeper check specifically focused on launch readiness: monitoring, CI/CD, deployment, and compliance. Use Health Checker first, then Production Readiness before launch.

Is the codebase health checker free?

Yes, completely free. No account required. If your score is C or below, Meetanshi's Vibe Code Rescue service can fix the critical issues starting at $499.

AI Code Health CheckerFree

Grade Your AI-Built Codebase

12 yes/no questions across stability, security, maintainability, and production-readiness. Get your grade in under 2 minutes.

0 of 12 answered0%

Stability

Does your app handle API failures gracefully? (errors shown to users, not blank screens)

Are there try/catch blocks around all async operations?

Do you have 404 and error pages implemented?

How to Check the Health of Your AI-Generated Codebase

1Answer stability questions — assess whether your app crashes under normal usage, has unhandled promise rejections or uncaught exceptions, fails on edge-case inputs, or produces console errors during regular operation. These are the earliest signs of fragile AI-generated code.

2Answer security questions — check whether authentication is implemented and working, user inputs are validated before processing, secrets (API keys, passwords) are stored in environment variables (not source code), and whether your npm/pip dependencies have known vulnerabilities (run npm audit to check).

3Answer maintainability questions — evaluate whether the code has a logical folder structure, key functions have explanatory comments, there is at least basic test coverage for critical paths, and how easily a new developer could understand and modify the codebase. AI-generated code often lacks consistent structure and documentation.

4Get your health grade — receive an A–F grade with a breakdown by category (Stability, Security, Maintainability) and specific recommendations for the weakest areas. Grade C or below means your codebase needs targeted work before it can reliably support real users in production.