The real test starts after
the prototype works.

AI coding tools optimize for working output, not safe output — so exposed API keys, missing auth checks, unvalidated inputs, and permissive database rules are common and rarely flagged. The honest answer is you usually can't tell from the outside. Our audit reads the actual code and config, runs it against known failure patterns, and tells you exactly what's exposed and how serious it is before anyone exploits it.

Yes — once it's stabilized. These tools get you to a working prototype fast, but production demands things they skip: real auth, sane data architecture, error handling, observability, and a deployment pipeline. We keep what works, harden what doesn't, and fill the gaps so the product holds up under real users instead of breaking the first time reality doesn't match the demo.

We walk through what you've built, what's breaking, and where you're trying to take it. You show us the app and the codebase if you can; we ask about users, data, and the failures you're seeing. By the end you'll have a clear read on what's wrong, what it takes to fix, and whether stabilizing or rebuilding is the smarter move — no obligation to continue.

We review the codebase, architecture, and config end to end: security holes, data-model risks, performance bottlenecks, missing error handling, and anything that won't survive real traffic. You get a prioritized report — what's critical, what's cosmetic, and what it takes to make the product production-ready — written so you can act on it whether or not you work with us.

An audit takes a few days. Fixing depends on what we find — most stabilization work lands in 2–4 weeks, with critical security issues handled first. We sequence the work so the riskiest problems are resolved early and you can keep shipping, rather than freezing the product for a single long rebuild.

Whichever actually serves you. Most AI-built products only need targeted fixes — security, data layer, error handling — on top of a salvageable foundation. We only recommend a full rebuild when the underlying architecture can't support where you're headed, and we'll tell you honestly which path costs less to get you to production.