I doubt an AI could be trained to do that. Anything that cannot be transpiled mechanically probably requires a human decision which will involve analysis and tradeoffs between objectives that the AI could not know about.
With enough work, anything a human does can be automated. Unless you believe human brain does something non-computable (like e.g. Godel), which makes you a dualist which comes with its own philosophical baggage (how do different types of ontologies interact?).
Sure, the machine could "make a call" and pick a way of doing things, but that machine wouldn't be the one supporting the resulting code for years afterward. Past a certain point, some technical decisions become value judgements because of their impact on humans.
One need not delve into philosophy to observe that, in practice, humans can do many things that we have yet to make machines do successfully. I admit that this is like solving the halting problem by saying "yes" (https://xkcd.com/1266/), for better and worse.
(But seriously, I think it's fair to say "as of 2022, no, AI can't do that")