AI App Rescue: Taking Your Bolt or Lovable Prototype to Production
AI builders get you to 80% fast. The last 20% — security, authentication, error handling, deployment — is where most projects stall.
The 80/20 problem with AI builders
AI builders like Bolt, Lovable, and Replit get you to a working prototype remarkably fast. You can describe what you want in plain language and get a functional application in minutes. The UI looks good, the basic flow works, and you feel like you are 80% done.
The problem is that the remaining 20% is where production readiness lives: authentication edge cases, error handling, database security, API rate limiting, deployment configuration, and performance optimization. This is the work that AI builders struggle with — and it is the work that determines whether real users can rely on your application.
The most common issues we fix
After rescuing dozens of AI-built applications, we see the same patterns:
1. Authentication that works in development but breaks in production 2. Database queries that are not secured with row-level security 3. API keys exposed in client-side code 4. No error handling — the app crashes silently when anything unexpected happens 5. Deployment that works on the AI builder's platform but fails when you try to host it yourself
None of these are visible during a demo. They only surface when real users start using the application.
What rescue looks like
We start with a security and architecture audit. We identify every issue, prioritize by risk, and fix them systematically. The goal is not to rewrite your application — it is to make what you already have production-ready.
Typical rescue engagement: 1-2 weeks for a standard application. You keep your existing UI and flow. We fix the infrastructure underneath it.
Does this sound like your business?
We build the systems described in this article. Tell us about your workflow and we will show you what the solution looks like.
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