This is a very popular opinion that is sort of obsolete now in my opinion.

It was a valid concern last year. We have seen tremendous progress on this in the last 4-6 months.

Even if your initial prototypes are unmaintainable slop, the state of the art models are fairly good at refactoring and fixing things.

In large projects there is always a risk, if not an inevitability, that a code base becomes unmaintanable by some definition. AI surfaces this faster, but also AI lowers the cost of testing and refactoring. AI gives a linear multiplier in producing solutions, but complexity gives a quadratic increase in problems. The art of producing software has always been in choosing what not to do.