That's a bit pedantic: lots of python programs will work the same way in major OSs. If they don't, someone will likely try to debug the specific error and fix it. But LLMs frequently hallucinate in non deterministic ways.

Also, it seems like there's little chance for knowledge transfer. If I work with dictionaries in python all the timrle, eventually I'm better prepared to go under the hood and understand their implementation. If I'm prompting a LLM, what's the bridge from prompt engineering to software engineering? Not such direct connection, surely!

> That's a bit pedantic

It's a pedantic reply to a pedantic point :)

> If I'm prompting a LLM, what's the bridge from prompt engineering to software engineering?

A sibling also made this point, but I don't follow. You can still read the code.

If you don't know the syntax, you can ask the LLM to explain it to you. LLMs are great for knowledge transfer, if you're actually trying to learn something - and they are strongest in domains where you have an oracle to test your understanding, like code.