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The moment your prototype meets production: what actually breaks

DEV Community·Nometria·22 days ago
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#ai#webdev#api#sdk#builder#production
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When Your AI-Built App Hits Production Reality You built something in Lovable or Bolt in a weekend. It works. Your first customers are actually using it. Then you try to scale it, and everything breaks in ways the builder never prepared you for. Here's what actually happens: AI builders optimize for iteration speed, not production resilience. Your database lives on their servers. You have no rollback mechanism if something goes wrong. Your deployment is a one-way door. And when you need to add a custom integration or handle edge cases your builder doesn't support, you're stuck. This is the gap between "working" and "production-ready." Most founders discover this too late. You've got real users, real data, and no control over your infrastructure. The builder's CLI export gives you code, sure, but it doesn't give you the deployment pipeline, the database migration strategy, or the safety nets you actually need. The math is brutal: exporting manually takes 8-12 hours of engineering time.…

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