Cursor Code Audit

A Cursor code audit is an independent technical review of an application built with Cursor's AI editor and agent. Vibecop reviews the code produced across many agent sessions — security, architecture, data handling and consistency — and reports where large accepted diffs introduced risk that review inside the editor did not catch.

What does a Cursor code audit check?

  • Large accepted diffs

    Multi-file agent changes that were approved in bulk, re-read line by line.

  • Pattern consistency

    Competing conventions introduced across sessions with different context in the window.

  • Rules coverage

    Whether project rules encode the constraints that actually matter, and where generated code ignores them.

  • Context gaps

    Code written against a partial view of the repo, duplicating logic that already existed elsewhere.

  • Access control

    Server-side authorization on every route, including ones added late in a session.

  • Secrets

    Keys in env files, client bundles, and anything committed during rapid iteration.

  • Dependencies

    Packages added by the agent, their CVEs, and the ones now unused.

  • Database access

    Query patterns, missing indexes, migrations, and constraints skipped for speed.

  • Input validation

    Boundary validation on API routes and server actions.

  • Error handling

    Generated try/catch blocks that log and continue as if nothing failed.

  • Type safety

    Suppressed errors, `any` escapes, and types that no longer match the data.

  • Dead code

    Superseded implementations left in the tree after a later session solved it differently.

  • Test reality

    Whether generated tests assert behaviour or simply mirror the implementation.

  • Performance

    Request-path work, N+1 access, and payloads that only look fine locally.

  • Production readiness

    Deployment, monitoring, backups, and rollback for the system as built.

See how an audit runs

Other audits

Each audit answers a different question. Most engagements combine two or three.

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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.