OpenAPI, microservices segmentation and keeping things small helps a lot. Probably the worst piece of the puzzle is the UI to maintain the coherence but it can be solved.
Mind you, we're talking zero review at all, just using whatever the LLM produces.
Now suddenly the problem is that AI can't write a lot of code.
LLMs have an unsolvable problem of "hallucination". It is a bad description of what the problem is because hallucination is all they do, it just also happens to be correct in many cases. The larger the codebase or the problem space, the less accurate LLMs tend to be.
And developers to a lot more than generating LOC.
Now suddenly the problem is that AI can't write a lot of code.
The problem is that AI can't currently write large quantities of correct and maintainable code to create a larger app.
(For some value of "larger")
I basically use LLMs to plan work, then to do the backend work with close supervision, then I do all the UX stuff completely on my own.