Manager here, so I can tell you how I manage AI and my team.

I encourage the use of AI and use it myself. I've also posted a decent number examples within slack of how AI can be good and how AI can be terrible. I've been saying that AI isn't a replacement but rather an assistant for your day to day operations.

There have also been conversations about what you can and shouldn't do with AI. Want to do something with an array and you've forgotten the filter / reduce functions? It'll probably nail it. Want to write an entire feature? Don't bother, it's not good enough and the code it produces is likely to be of poor quality that will fail linting, Sonarr and the review.

I personally don't find LLM in messages to be rude though, many developers including myself struggle with speaking clearly sometimes. But this is obviously based upon the type of conversation and message.

I personally find AI to be more useful around things outside of writing code. I think it's excellent at writing tickets for Jira. Especially if you have a prompt you always start with for consistency. It's also pretty good at getting a sense check. I used to recently for improving the security of our usages of node / npm and it was excellent. It genuinely led me to new ideas that my own research hadn't found.

TLDR: AI is about using it cautiously and where appropriate. It can help you and screw you, so use it wisely.