The era of “just ask the LLM” has made us remarkably productive, but it has also made us dangerously comfortable. We are currently witnessing a shift where developers are offloading critical infrastructure decisions to generative models. While having an AI suggest a React component or a regex pattern is relatively low-stakes, letting it dictate your database schema transitions is playing with fire.

The problem isn’t that AI is “bad” at SQL; it’s that AI lacks context. It doesn’t know your traffic patterns, it doesn’t understand your locking mechanisms, and it certainly doesn’t care if your production environment goes dark at 3:00 AM because of a table lock that lasted ten minutes too long.

The Illusion of “It Works”

When you ask an AI to generate a migration — say, adding a non-nullable column with a default value to a table with five million rows — the code it gives you will likely be syntactically perfect.…