alt Hacker News> there isn't really any "prompt engineering" involved
You should make an experiment; take someone who never used any LLMs or agents, and tell them to use it for the first time in front of you, and tell them to build something like a calculator program or whatnot. Bonus points if they're ICs or at least not-managers.
I think there is a lot us engineers take for granted, when it comes to communicating via text, how to state things clearly and what we think/reason when we read things. A lot of people don't have those "skills" innate, and the first time they use LLMs, they basically don't know how to interact with them, until they realize what they're able to do and not. Then they also learn what to say to steer the model into the right way, this is quite literally a "prompt engineering" skill they're now learning.
You don't even have to go outside engineers. I have teammates that get very little out of Claude Code because the way they integrate their own knowledge doesn't allow them to think of what Claude might not know. They'd say a task was impossible with the tooling, and I'd get instant answers, because I understand what is weird internal business logic sitting 6 repos away, and what is knowledge claude has by default. I can commit Claude.md files for them, but I have to include EVERYTHING, because otherwise they'll let Claude make assumptions and waste minutes, if not hours.
It's a big part of what, in my experience, is separating the very good engineer from the iffy one: Do you have a good mental model, and can you put yourself in the shoes of people sitting in a different mental model? It makes you a better dev, and even more so when it comes to AI tools, which have their own kind of alien brain.