[regularfry]

Eh, it's a mixed bag. The way Github Copilot offers suggestions means that it's very easy to discover the sorts of things it can autocomplete well, which can be surprising. I've certainly had it make perfect suggestions in places I thought I was going to have to work at it a bit - like, say, thinking I'm going to need to insert a comment to tell it what to generate, pressing enter, and it offering the exact comment I was going to write. Having tried both push and pull modes I found it much harder to build a good mental model of LLM capabilities in pull-mode.

It's annoying when a pushed prediction is wrong, but when it's right it's like coding at the speed of thought. It's almost uncanny, but it gets me into flow state really fast. And part of that is being able to accept suggestions with minimal friction.