[danielbln]

Easy to use, hard to master. Or: low skill floor, high skill ceiling. My output wouldn't be nearly as good without subagents and skills, and MCPs are somewhat required if you deploy tool using agents at scale.

It's like saying all you need is notepad to develop. It's not wrong, but.. you know.

[micik]

It’s not hard to master. It’s not a skill to be learned —- it’s a tool that comes with a manual. You read the manual and now you can use the tool. Most people never will read the manual which is what gives the false impression that there’s something “to master” here. It’s like saying vím is harder to use than notepad. Not if you read the entire manual first.

[danielbln]

I'm not sure how you define skill acquisition, it's reading documentation and doing the skill, yes? The AI landscape shifts rather quickly still, and a new LLM + harness has a different set of functionality, but more importantly different fuzzy failure cases Things a model is particular good at, things that work better if you combine certain systems. All of it is documented, but also fast moving and new things are discovered frequently. In comparison, Vim has been around for decades.

And vum is absolutely harder to use than notepad. Otherwise it's like saying that rocket science isn't hard because you just have to read the documentation to know how to engineer a rocket.