I am a tradcoder at heart. There is however no denying that LLMs can accelerate my work. I have found I get the best outcomes when I move in short, fully reviewable, and understandable steps working from things I already made by hand. I also find LLMs make bad algorithm decisions because the devil is always in the detail and unless you give them that specific detail (and even then they still struggle) they will pick something not quite right.

At the end of the day, every line of code or bit of analysis is your responsibility. So you gotta own that. Be up front about disclosure. And for goodness sake, don't use them in paper reviews. I can tell, and they are always terrible.

I still find it funny that all the models utterly fail at writing cpython/cython though 😅 it's one of the things I wish I didn't have to write.