Why Your AI Builder Platform Fails at Scale (And How We Fixed It)

The Gap Between "Built" and "Production-Ready" You built something in Lovable. It works. You shipped it to users. Then reality hits: your database lives on their servers, you can't roll back a bad deploy, and scaling means rebuilding from scratch on real infrastructure. This isn't a flaw in AI builders. It's a design choice. They're optimized for iteration, not production. The moment you need ownership of your code, your data, or your deployment pipeline, you hit a wall. Here's what actually...