AI Code Smells & Security Auditor
Paste code generated by Cursor, Bolt.new, Lovable, or Claude Code. Get an instant readiness grade, detect client secret leaks and infinite loops, and copy verified senior engineering fixes.
Frequently Asked Questions
Understanding AI-generated prototype hardening and production deployment.
Why do AI-generated apps from Cursor, Bolt, or Lovable get stuck at 80%?
AI coding models excel at generating UI components and single-file CRUD prototypes, but they struggle with cross-file architectural boundaries. Common failure points include exposing private database secrets inside 'use client' files, creating circular useEffect dependency loops, omitting server-side authentication guards on Server Actions, and misconfiguring Supabase Row-Level Security (RLS).
Is my code snippet saved or used to train AI models?
No. All code analysis is executed ephemerally in an isolated runtime and is never logged, stored in any database, or used for model training. Your intellectual property remains 100% private.
What specific vulnerabilities does this auditor detect?
The auditor inspects five critical vectors: (1) Secret leakage in client-side React bundles, (2) Unprotected Next.js Server Actions lacking session verification, (3) SQL injection from unescaped raw template strings, (4) Memory leaks and infinite re-render loops in useEffect hooks, and (5) Missing runtime schema validation (Zod) on public form submissions.
What should I do if my prototype scores a D or F?
A low score means the prototype is vulnerable or fragile, but the core business logic is usually recoverable. You can use our provided copy-paste diff snippets to fix individual issues, or engage JoinAffix's AI & Vibe Coding Rescue service to refactor, secure, and deploy your production app in under 48 hours.
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