Security Audit Guide for AI-Generated MVPs Before Public Launch

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AI coding tools like Cursor, v0, Lovable, and Bolt have made it faster to build MVPs, but they consistently reproduce the same security vulnerabilities in generated code. The most common flaw is broken object-level authorization, where API routes verify login but fail to confirm the requesting user owns the requested resource. A related risk affects Supabase-backed apps, as new database tables ship with row-level security disabled, leaving data exposed to anyone with the public anon key. A third vulnerability involves AI assistants inadvertently leaking server-side secrets, such as Stripe keys, into client-side code. The article recommends founders audit for these three specific issues before onboarding paying users, noting most checks can be completed in a single afternoon.

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