If an AI coding agent such as Claude Code has written most of your app, TPR Media reviews the code, architecture and security so you can launch knowing what is really there.
We work with Replit, Lovable, Bolt, Cursor, v0, Base44 and Claude Code.
Get a free health check See the App Launch Audit
| Area | What Claude Code usually generates | What we usually find |
|---|---|---|
| Codebase | Agent-written code in your own repository, often across many files at once | Large changes that work but were never reviewed line by line |
| Architecture | Whatever structure emerged from a series of tasks | Mixed patterns and logic spread across layers |
| Database | Migrations and queries written by the agent | Migrations that cannot be rolled back and missing indexes or constraints |
| Secrets and config | Environment files and config created during setup | Secrets committed to the repository or shared across environments |
Agents can change dozens of files in one go. We review the high-risk areas first and set up a review process for future changes.
We document the architecture and data model so you, a developer or the next AI session can work with confidence.
A key removed from the code can still sit in git history. We check, clean up and tell you which keys to rotate.
We start with a fixed-price App Launch Audit from A$2,800 plus GST, delivered 5 business days after full access. You get a launch readiness score, prioritised findings and a rescue-or-rebuild verdict, then choose to fix it yourself, have us fix the critical items or have us finish the app.
It can be, after an independent review. Coding agents write working code quickly, but working is not the same as secure. Research on AI-generated code has found security flaws in a large share of test cases. We review auth, data access, secrets, payments and dependencies before your app goes in front of real users.
Yes. Many founders keep using an agent after launch. We set up the guardrails that make that safer: tests on critical journeys, clear conventions, branch protection and a review step before production. The audit also includes paste-in prompts so your agent can handle the low-risk fixes we identify in the report.
Then the audit says so, and shows what it would cost to fix the worst parts compared with rebuilding. Often a few targeted refactors around data access and business logic make the codebase manageable again. You get a clear rescue-or-rebuild verdict with the cost of each path before you commit to anything further.