Code migration is where AI projects actually fail, not in the lab

The Gap Between "Built" and "Production-Ready" Nobody Talks About You shipped your app in Lovable in two weeks. It works. Users are signing up. Revenue is real. Then you hit the first production problem: your database lives on their servers, you can't roll back a bad migration, and scaling means rebuilding on real infrastructure anyway. This is the moment every AI-built app hits the wall. Here's what actually happens. AI builders optimize for iteration speed, not production resilience. They excel at getting from idea to working prototype fast.