I find writing the code is the easy part. The difficult part is figuring out what the requirements are, fitting together all of the data relationships, figuring out the security so the correct people and systems have access to the data. To do these things I need very specific knowledge of the systems I'm working on, knowledge the AI doesn't have.
I could see it could give you a simple interface that's similar to something it's been trained on. But it's capabilities are very limited in terms of doing anything novel. It can't actually understand a problem, it can only give some code similar to problems that exist in it's training data. Sometimes that's useful, since at times I do have to solve problems that's been solved by others. But most of the time the AI can't understand what I'm trying to do and it's easier to write the code than it is to try to explain to an LLM how to write the code I want it to write.