Two brief thoughts on why I think it's still worth keeping LLM use out of introductory programming for stats/data science: - You need to be a good programmer to get good code out of an LLM - You need to be a good programmer to evaluate the code you get out of an LLM
Genuinely interested in your views: What is the future of teaching statistical programming language for data science in the age of AI? Will we even still teach programming R or Python?