My argument is thus:

LLMs are decent at boilerplate. They’re good at rephrasing things so that they’re easier to understand. I had a student who struggled for months to wrap her head around how pointers work, two hours with GPT and the ability to ask clarifying questions and now she’s rockin’.

I like being able to plop in a chunk of Python and say, “type annotate this for me and none of your sarcasm this time!”

But if you’re using an LLM as a problem solver and not as an accelerator, you’re going to lack some of the deep understanding of what happens when your code runs.