What does a vibe code audit check?
What is actually there
A full map of the codebase, including the routes, jobs, and tables nobody remembers asking for.
Security defaults
Whether the generated auth, access control, and storage rules were ever tightened from their scaffold state.
Access control
Server-side permission checks, rather than a UI that simply hides the button.
Database design
Schema, constraints, indexes, and row-level policies against the queries the app really makes.
Secrets
Keys committed to the repo, shipped in the client bundle, or shared across environments.
Abandoned code
Half-built features and superseded experiments still reachable in production.
Pattern drift
Three different ways of doing the same thing, one per session with the AI tool.
Data validation
Whether anything checks input before it reaches the database.
Error handling
Failures that surface as a blank screen, a spinner, or a silent success.
Payments and billing
Webhook verification, idempotency, and price or quantity trusted from the client.
Third-party wiring
Integrations configured by copy-paste, including the permissions they were granted.
Performance
Queries and page loads that are fine with test data and not with real data.
Scalability
Where the current build stops working, expressed in users rather than adjectives.
Testing
Whether any coverage exists for the paths that take money or delete data.
Handover readiness
What an engineer joining this codebase would need before they could safely change it.
What is a vibe coding audit?
A vibe coding audit is an independent review of software produced by describing what you want to an AI tool rather than writing the code yourself. The working assumption of the audit is that the code shipped without a senior engineer reading it, because that is what vibe coding means in practice.
That changes what the review looks for. A conventional code review checks the decisions a team made. A vibe coding audit checks the decisions nobody made: the defaults the tool chose, the tables it created, the permissions it granted, and the earlier attempts it left behind when a later prompt took a different approach.
Vibe coding security audit
A vibe coding security audit concentrates on the part of a vibe coded app that fails worst and soonest. AI tools generate working authentication far more reliably than they generate correct authorization, so the login screen usually holds while the endpoint behind it never checks who is asking.
We test vibe coded app security from outside the interface: calling the API directly, querying the database with the public client key, and requesting objects belonging to another account. Then we check what a leak would cost — secrets in the repo or the client bundle, tenant data separated only by an application filter, and audit trails that do not exist yet.
When to run a vibe coded app audit
The three moments that force the question are the same every time: before you take real user data, before an enterprise customer runs their own security review, and before an investor's technical diligence reads the repo. Each one puts the codebase in front of someone who did not build it.
Auditing earlier is cheaper. A structural problem found before launch is a week of work; the same problem found after a year of features built on top of it is a rewrite. If you are close to any of those three moments, the audit is worth running now rather than after.
Other audits
Each audit answers a different question. Most engagements combine two or three.
Build with
confidence.
AI builds the product. Vibecop makes sure it won’t break in production, fail under scale, or expose your users to risk. One audit. Fewer expensive surprises.