Let’s be real here: when people hear the word AI or LLM they don’t think of any of the applications of ML that you might slap the label “potentially useful” on (notwithstanding the fact that many of them also are in a all-that-glitters-is-not-gold–kinda situation). The first thing that comes to mind for almost everyone is shitty autoplag like ChatGPT which is also what the author explicitly mentions.
Nice, me too, and whenever some tech-brained C-suite bozo tries to mansplain to me why LLMs will make me more efficient, I smile, nod politely, and move on, because at this point I don’t think I can make the case that pasting AI slop into prod is objectively a worse idea than pasting Stack Overflow answers into prod.
At the end of the day, if I want to insert a snippet (which I don’t have to double-check, mind you), auto-format my code, or organize my imports, which are all things I might use ChatGPT for if I didn’t mind all the other baggage that comes along with it, Emacs (or Vim, if you swing that way) does this just fine and has done so for over 20 years.
If LOC/min or a similar metric is used to measure efficiency at your company, I am genuinely sorry.