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From Prototype to Live: The Real Cost of Code Migration

DEV Community·Nometria·20 days ago
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#ai#webdev#api#infrastructure#code#real
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Why Your AI-Built App Hits a Wall at Scale (And How to Break Through) You shipped something in Lovable or Bolt in two weeks. It works. Users are signing up. Then you realize: your data lives on someone else's servers, you can't rollback a broken deploy, and scaling means rebuilding from scratch on real infrastructure. This isn't a flaw in AI builders. It's by design. They're optimized for iteration, not production. There's a reason. The Gap Nobody Talks About AI builders solve one problem beautifully: getting from idea to working prototype fast. They do this by centralizing everything, your code and database included. That's what makes them quick. You don't think about infrastructure. You think about features. But the moment you need to own your data, run your own database, or deploy without vendor lock-in, you hit a hard ceiling. The builder's export function gives you code, sure. But your database is still theirs. Your deployment pipeline doesn't exist.…

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