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From Vibes to Bytes: Deploying AI Code That Doesn't Fall Apart
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From Vibes to Bytes: Deploying AI Code That Doesn't Fall Apart

DEV Community·Nometria·about 1 month ago
#ydruHhbH
#ai#webdev#api#sdk#production#infrastructure
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Why Your AI-Built App Works in the Builder But Breaks in Production You shipped an app in Lovable or Bolt in three days. It works. Your co-founder tested it. You're ready to show customers. Then you hit the wall. The builder environment is optimized for iteration, not scale. Database queries that felt instant with 10 test rows now timeout with 1,000 real users. Your connection pooling isn't configured. Your API doesn't have rate limiting. You have no rollback strategy if something breaks. Here's what most founders don't realize: AI builders are not production infrastructure. They're prototyping environments wearing production clothing. The gap between "working locally" and "production-ready" is massive. It includes database optimization, load balancing, monitoring, backups, GDPR compliance, SSL certificates, CI/CD pipelines, and a hundred other things the builder abstracted away. Most builders don't give you these tools because they're not meant to.…

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