I wonder if the same people using "agentic AI" are the same that spend days setting up the "perfect" work environment with four screens.

I find LLMs are great for building ideas, improving understanding and basic prototyping. This is more useful at the start of the project lifecycle, however when getting toward release it's much more about refactoring and dealing with large numbers of files and resources, making very specific changes e.g. from user feedback.

For those of us with decades of muscle memory who can fix a bug in 30 seconds with a few Vim commands, LLMs are very likely to be slower in most coding tasks, excepting prototyping and obscure bug spotting.

Maybe if you've spent decades on the same codebase. Now try doing that in a recent codebase thats been agnatically engineered by five people spiffing into the same repository. Good luck with your VIM muscle memory where the entire code base changes every five seconds around you so that no human can actually track wtf is happening week on week.