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Vibe-Coded App Audit

Find out what is risky, fragile, or about to break in your AI-built app.

If you built your product with Lovable, Bolt, Replit, Cursor, Claude, ChatGPT, or another AI coding workflow, the first question is not whether the app looks finished. It is whether the app can safely handle real customers.

What an AI-built app audit checks

A vibe-coded app audit is a practical inspection of the parts AI tools often skip: authentication, database rules, secrets, payment paths, AI prompts, error handling, deployment settings, and the flows customers depend on. The goal is to separate cosmetic polish from production readiness.

Most non-technical founders do not need a 90-page engineering report. They need a plain-English answer to three questions: what can hurt the business, what is causing customer pain, and what should be fixed first.

Common findings in vibe-coded apps

  • API keys, tokens, or database credentials exposed in client-side code or public repositories.
  • Database permissions that allow one user to see or modify another user's data.
  • Checkout, onboarding, or login flows that work in demos but fail under real edge cases.
  • AI features with weak prompt boundaries, high token costs, or missing abuse limits.
  • No reliable test coverage for the few workflows that make or break revenue.
  • Deployment settings that make rollbacks, environment variables, and monitoring unclear.

Who this is for

This audit is for founders with real users, a working prototype, or an early revenue product who built faster than a traditional engineering team would have allowed. It is especially useful before adding payments, collecting sensitive user data, launching publicly, buying ads, onboarding a large customer, or hiring engineers to take over the codebase.

What you receive

You receive a prioritized risk map, a repair plan, and a founder-readable explanation of what each issue means. Critical issues are separated from cleanup work so you are not buried in technical trivia. Where possible, we also identify quick wins that reduce breakage without rebuilding the product from scratch.