The Gap Between "Working" and "Production-Ready": Why AI-Built Apps Hit a Wall You built something in Lovable or Bolt in a weekend. It works. Users can sign up, create data, move things around. The feedback loop is tight. You iterate fast. This is exactly what AI builders are optimized for. Then you try to scale it. Suddenly you realize your database lives on someone else's servers. Your code is locked in their proprietary export format. You have no rollback if something breaks. There's no CI/CD pipeline, no deployment history, no way to version control what you shipped. When you hit 100 concurrent users, the builder's infrastructure hits its ceiling, and you're stuck. This isn't a failure of AI builders. They're built for iteration, not production. They're optimized for speed over ownership. The real problem is the gap between "my app works" and "my app is production-ready." Most founders don't realize how wide that gap is until they're already committed.…