This is a far far cry from even writing yaml for Github/Gitlab CICD pipelines. Folks keep trying to say "engineering" when every AI thread like this seems to push me more towards "snake oil" as an appropriate term.
If you’re not benchmarking and systematically measuring the impact of your changes, it’s not prompt engineering, it’s just improving stuff.
I was replying to someone who claimed that getting real productivity gains from this tool requires engineering and needs to be approached as such. It also compared learning to use LLM agents to learning to code in emacs or vim, or learning a programming language - things which are nothing alike to learning to control an inherently stochastic tool that can't even be understood using any of our regular scientific methods.
The whole point is to get a process around it that works and gets the “ritual magic” out of it.
I labeled that as engineering.