[ironman1478]

I didn't realize how I learned to develop software from 2011-2015 was the old way lol. (Am I old now?).

I appreciate that the author understands why doing everything "the old way" is good. AI is a tool, it can't be a replacement for how you think and it can't be a replacement for the actual work.

I wish more people had a desire for the inner workings of things because it makes you better at actually using tools. Implementing compilers, databases, OSes, control systems, etc. is like practicing swimming. Yeah, you might not ever swim again but when you need to the muscle memory will be there when you need to get out of the ocean (I know this is a strained metaphor).

Knowing more can only be a boon to using LLMs for coding and it's really a general problem in ML. I work in a science field as hw / sw engineer and I've seen so many pure data science people say they can replace all our work with a model, flail for 2 years and then their whole org gets canned. If they just read a textbook or collaborated (which they never do, no matter how polite you are), they'd have been able to leverage their data science skills to build something great and instead they just toil away never making it past step 0.