I generally agree but it starts to get interesting again once you have the first solid bricks in place. The LLM is incredibly good at seeing where you are going. You can place one brick and the next few become obvious.

I've been working on a project for the last 18 months, and over that time LLMs have advanced to the point where they've become useful. I can write a section of UI and ask the LLM to write all the front end and backend services. There are enough examples that it writes exactly the code I would have written myself. It can build entire sections of code quickly and efficiently because there aren't very many questions without an answer somewhere in the codebase, which it is very good at finding. If it finds any gaps, it can raise it as a question. It analyzes, asks questions, and then completes the work.

The impression that I'm starting to form is that you do not want to use AI very much early in a project, except to ask questions and check your code. But it's usefulness at assisting with code scales with the size of the project.