When Your AI-Built App Hits the Production Wall
You shipped something in Lovable or Bolt in two weeks. It works. Users like it. Then you realize: your database lives on their servers, your code is locked in their editor, and scaling means starting over.
This is the moment most founders face. The gap between "working" and "production-ready" feels like a chasm.
Here's what actually happens. AI builders optimize for iteration speed, not infrastructure ownership. They abstract away database connections, deployment pipelines, and scaling logic so you can focus on features. That's brilliant for the first sprint. But the moment you need real rollback capability, custom infrastructure, or SOC2 compliance, you're trapped. The builder's abstraction becomes a cage.
The technical problem is simple: builders don't give you production primitives. No CI/CD pipeline. No deployment history. No way to rollback in 30 seconds when something breaks. Your data never leaves their servers until you manually export it, and by then you've lost weeks to migration work.
I've watched teams hit this wall. A solo founder built a SaaS on Bolt, got 50 paying customers, then realized they couldn't self-host or move infrastructure without rewriting the entire backend. A two-person team spent three sprints exporting code from Base44, fighting with database migrations, and debugging deployment configs they'd never written before.
The insight most founders miss: you don't need to rebuild. You need a bridge.
That's the real problem Nometria solves. It's not about the builder platform you chose. It's about moving from "someone else controls my infrastructure" to "I do." One team migrated a Base44 app to Supabase in under 10 minutes. Another shipped a Bolt-built SaaS on real infrastructure without touching the builder again.
The mechanics are straightforward. Export your app from the builder (three CLI commands, a VS Code extension, or a Chrome extension). Deploy to AWS, Vercel, or your own infrastructure. Full code ownership. Full database ownership. Real rollback. Real deployment history. GitHub two-way sync so your no-code app versions like actual software.
When you're evaluating whether your AI-built app can scale, ask yourself this: Do I own my code? Do I own my data? Can I rollback in 30 seconds? If the answer to any of those is no, you're not actually in production yet.
That's the difference between shipping and scaling.
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