When AI code generation meets real infrastructure: a builder's guide

AI-built applications often work in development environments but fail in production due to a fundamental gap: AI builders optimize for iteration, not real infrastructure demands. This leads to problems like vendor lock-in, lack of deployment history, and no rollback capabilities when trying to go live.