The same holds true for software developers imo. If you can't figure out how to use LLMs to improve efficiency, your likely a dinosaur of the past soon (unless you work on somethink __very__ specific where LLMs dont help much).
I can barely think of any real application where they would help. I have a weekend project that's already too much context -- I asked Claude to change some Tailwind styles for me and it just shat up the whole file. and that was a toy!
even if allowed, how is Claude going to help my at work where a single file in a large project, one of many, is tens of thousands of lines long?
The best use I've gotten out of LLMs is as an autocomplete. I use Cursor at work, and it's pretty good at consistently calculating the next 10-20 characters I want to type out. Anything longer, save for some situations where the changes I'm making are super repetitive, the quality dives off a cliff.
I've yet to coax out good/working code of significant complexity from these models without putting an amount of effort into prompting that would be greater than just working it through myself without any LLM assistance.
The use I do get out of Cursor can save a lot of time for me, so I do think it's a productivity boost as is.
