However ... your colleagues just do the same.

We'll see how this unfolds. As for now the industry seems to be a bit stuck at this level. Big models too expensive to train for marginal gains, smaller are getting better but doesn't help this. Until some one new idea comes in how LLMs should work, we won't see the 99.95% anyway.

I find that I don't use it as much for generating code as I do for automating tedious operations. For example, moving a bunch of repeating-yourself into a function, then converting the repeating blocks into function calls. The LLM's really good at doing that quickly without requiring me to perform dozens of copy-paste operations, or a bunch of multi-cursor-fu.

Also, I don't use it to generate large blocks of code or complicated logic.