Authentication
Whether sessions, password reset, and account recovery are real, or whether the AI builder stubbed in a login screen that doesn't actually gate anything.
AI app builders ship a working demo, not a secure backend. See what's actually exposed before your users do.
What's actually load-bearing
Which parts of your Lovable, Replit, Bolt, v0, or Emergent build are solid, and which ones only work in the demo.
The specific gaps that'll bite you
Exposed keys, fake auth, unwired Stripe webhooks, missing Supabase Row Level Security, no rollback plan.
A prioritized list you can act on
Ranked by risk, not padded to look thorough. Forward it to your own team or come back to us.
Reviewed by the same team that takes AI-tool prototypes into production, across 20+ MVP engagements.
Direct answer
A free vibe coding security review is a manual audit of an app built with an AI coding tool (Lovable, Replit, Bolt, v0, Emergent, or similar), checking authentication, payment integration, Supabase Row Level Security, data integrity, and deploy safety. RaftLabs reviews the app manually and replies with ranked findings within 2 business days, no automated scan.
How it works
AI builders optimize for a demo that looks finished. These are the six places that gap between looks-finished and is-finished shows up most.
Whether sessions, password reset, and account recovery are real, or whether the AI builder stubbed in a login screen that doesn't actually gate anything.
Whether Stripe (or your payment provider) is fully wired: webhooks handled, subscriptions and refunds working, not just a checkout button that looks right in a demo.
The most common gap we see in Lovable and Bolt builds on Supabase: tables with RLS disabled or misconfigured, meaning any authenticated user can read or write data that isn't theirs.
API keys and service credentials that ended up in client-side code or a public repo, where anyone can copy them out of your browser's network tab.
Whether the database has real constraints, foreign keys, and validation, or whether bad data can slip in because nothing at the schema level is stopping it.
Whether you have error monitoring, a rollback plan, and health checks, or whether every deploy is a guess about what might break for users already on the app.
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What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

I definitely recommend RaftLabs, especially to solo founders like me. Their clear communication and detailed discussions have always helped me make better decisions.
Send the URL. We check what's solid and what's exposed, rank it by risk, and send the findings. No sales call unless you ask for one.