You shipped fast with AI. Now make the code safer, maintainable, and ready for real users without jumping straight to a full rewrite.
This is what happens when you build fast with AI tools. The app works. The code underneath isn't ready for the real world. That's what I fix.
45% of AI-generated apps have security vulnerabilities. Most founders find out after a breach, not before. — Veracode GenAI Code Security Report 2026
I take your AI-generated app and turn it into something a real team can work on. That means deciding what can be stabilized, what actually needs refactoring, what can wait, and how to turn a fragile build into a product foundation that can support real delivery.
Which parts of the codebase are risky now, and which parts only look messy but can wait.
Whether the app needs cleanup, hardening, or a larger rebuild path.
What the next developer or team needs in place to keep building without fear.
How to reduce delivery risk without turning the cleanup itself into a months-long rewrite project.
I review the full codebase and deliver a written report: what's risky, what's broken, what can stay, what needs to change.
I fix the issues in priority order - security first, then structure, then tests, then docs. The goal is not a perfect codebase; it is a safer one with a clearer path forward.
You get clean code, a documented architecture, and a developer-ready codebase. I walk you through what changed and why.
Typical engagement: 1-3 weeks depending on codebase size and risk level.
I documented how to take an early Replit-built app and move it toward a production-ready setup with cleaner structure, safer deployment, and a more stable foundation.
Outcome: clearer architecture, safer deployment, and a more realistic path from prototype to something a team can keep building on.
Read the breakdownTypical cleanup outcomes
The non-technical founder's guide to costs, process, and what to ask before hiring.
A founder-friendly self-check before you jump into an audit or cleanup.
See what production hardening looks like in practice on an early-stage app.
If the main challenge is architecture, sequencing, or product-direction decisions.
If the app needs a larger rebuild path or a cleaner first product rather than a narrow cleanup.