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AI QA built for vibe-coded apps

Vibe coding makes shipping 10x faster. But AI-generated code has blind spots — it optimizes for your prompt, not for production. VibeProof reads the code your AI assistant wrote and finds the bugs it introduced.

What VibeProof tests

  • Input validation gaps — AI consistently skips boundary checks, empty handling, and type coercion
  • Missing auth middleware — AI generates functional routes but forgets to protect them
  • Hardcoded values — placeholder URLs, test API keys, magic numbers left in production code
  • Over-broad error handling — try/catch around everything that swallows specific failures
  • Stale framework patterns — AI suggests deprecated APIs or wrong-version conventions
  • Cross-feature state bugs — features generated independently that conflict when combined

Why this matters

The AI that wrote your code and the AI that tests it approach problems differently. Your coding assistant optimizes for "make it work." VibeProof optimizes for "make it break." That adversarial perspective is exactly what catches the bugs that code review misses.

Example test cases

AI-generated route without auth

1.Identify all API routes in the codebase
2.Send unauthenticated request to each route
3.Check which routes return data instead of 401
Expected: Every route that handles user data requires authentication. No data exposed without a session.

Hardcoded localhost in production

1.Search codebase for "localhost", "127.0.0.1", "example.com"
2.Check if any appear in production code paths (not just dev config)
3.Verify environment variable usage for all URLs
Expected: No hardcoded URLs in production code. All URLs from environment variables.

FAQ

Does it matter which AI coding tool I use?+
No. VibeProof tests the output code, not the tool that generated it. Whether you use Cursor, Claude, Copilot, or Bolt — the generated code gets the same thorough analysis.
Is this just running another AI on AI-generated code?+
Yes — deliberately. The AI that wrote the code has blind spots. A different AI approaching the code adversarially (trying to break it) finds bugs the first AI would never catch. It's the same principle as having someone else review your code.

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