Like, yes, prompting is a skill and you need to learn it for AI to do something useful but usefulness quickly falls down a cliff once you go past "greenfield implementation" or "basically example code" or "the thing done a lot so AI have a lot of reference to put from" it quickly gets into kinda sorta but not really working state.
It can still be used effectively on smaller parts of the codebase (I used it a lot basically to generate some boilerplate to run the test even if I had to rewrite a bunch of actual tests) but as whole very, very overrated by the AI peddlers.
And it probably stems from the fact that for the clueless ones it looks like amazing productivity boost because they go from "not even knowing framework" to "somewhat working app"