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The gap between prototype and production: how we scaled with Nometria

DEV Community·Nometria·20 days ago
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#ai#webdev#api#sdk#builder#real
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Why Your AI-Built App Works in the Builder But Breaks in Production You shipped something in Lovable or Bolt in three days. It works. Users love it. Then you realize: your data lives on their servers, your code is locked in their system, and scaling means rebuilding from scratch. This is the gap nobody talks about. AI builders are optimized for one thing: iteration speed. They excel at that. But production infrastructure requires something different. You need database ownership, real CI/CD, rollback capability, compliance tracking, and the ability to scale without hitting the builder's ceiling. Here's what actually happens at scale: Your app hits 100 concurrent users. The builder's shared database starts showing latency. You can't tune indexes. You can't see query plans. You can't move to Postgres with connection pooling. You're stuck. Or compliance comes up. You need SOC2. You need GDPR data residency. You need audit logs.…

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