ChatGPT has been spot on for my DDLs. I was working on a personal project and was feeling really lazy about setting up a postgres schema. I said I wanted a postgres DDL and just described the application in detail and it responded with pretty much what I would have done (maybe better) with perfect relationships between tables and solid naming conventions with very little work for me to do on it. I love it for more boilerplate stuff or sorta like you said just getting me going. Super complicated code usually doesn't work perfectly but I always use it for my DDLs now and similar now.

The real problem is when people don't realize something is wrong and then get frustrated by the bugs. Though I guess that's a great learning opportunity on its own.

It can point you in a direction, for sure, but sometimes you find out much later that it's a dead-end.

It’s the same with using LLM’s for writing. It won’t deliver a finished product, but it will give you ideas that can be used in the final product.