Claude Code Audit

A Claude Code audit is an independent technical review of a codebase built with Claude Code's agentic workflow. Vibecop reviews the result of many autonomous multi-file sessions — architecture, security, tool and MCP configuration, and consistency — and reports where agent-authored changes introduced risk that no human reviewed in full.

What does a Claude Code audit check?

  • Agent-authored changes

    Multi-file edits accepted in a single session, reviewed properly for the first time.

  • Project instructions

    Whether CLAUDE.md encodes the real constraints, and where the code contradicts it.

  • MCP servers and tools

    What connected tools can reach, the credentials they hold, and their trust boundary.

  • Permission configuration

    Allowed commands, hooks, and automation that can act without a human in the loop.

  • Secrets

    Credentials in the repo, in environment files, or reachable by an agent session.

  • Architecture drift

    Structure that evolved session to session without a single owning design.

  • Duplication

    The same capability implemented more than once because context did not carry across sessions.

  • Access control

    Server-side authorization on every endpoint, including internal and admin routes.

  • Input validation

    Trust boundaries validated in code rather than assumed by the prompt.

  • Database access

    Schema, constraints, indexes, migrations, and destructive operations without guards.

  • Dependencies

    Packages the agent introduced, their CVEs, and the ones no longer used.

  • Test quality

    Whether generated tests would fail if the behaviour broke.

  • Error handling

    Failure paths that log and continue where they should stop.

  • Performance

    Request-path work, N+1 queries, and cost under real concurrency.

  • Production readiness

    Deployment, monitoring, backups, rollback, and operational ownership.

See how an audit runs

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.