Prototype-to-Production Review for AI-Generated Software

You built it with Lovable, Cursor, v0, Bolt, or Replit, and it works. Before real users—and their data—arrive, have someone with two decades of systems experience tell you what's going to break.

"Vibe coding" gets you to a working prototype remarkably fast. What it doesn't give you is the boring, critical layer underneath: access controls, input validation, error handling, tests, and a sense of what happens under load. That's the layer we review.

What These Codebases Tend to Hide

Across AI-generated projects, the same issues come up again and again:

Secrets and API keys committed to the repo or exposed to the browser
Missing or inconsistent authentication and authorization checks
Unvalidated input and injectable queries
No tests and no CI, so every change is a gamble
Data-loss risks: no migration discipline, no backups, unsafe destructive operations
Cost and scaling traps—unbounded queries, N+1 patterns, expensive calls in loops
Code copied and restructured to the point that it's hard to change safely

The Review

We work through your repository and deliver a written report: every issue we find, ranked by severity, each with a specific, concrete recommendation for fixing it. It covers security, data integrity, correctness, testing, performance and cost, and maintainability—and it ends with a prioritized punch list of what to do before you launch. A walkthrough call to talk through the findings is included.

Starts at $1,500

The base price covers the review and written report for a single small repository. You'll usually have the report within one week of repo access. Larger or multi-service codebases are quoted after an initial look.

After the review

Implementing the fixes is a separate engagement, quoted per repository—either we make the critical fixes for you, or we stay on in a lighter ongoing role to review changes as you keep building. There's no obligation to continue; plenty of clients take the report and run with it themselves.