I would be interested in a clear statement about how this scales. I've not used this workflow myself, but I've seen teams that did it. Whether they got huge benefits out of it I don't know, but I do know that watching them, I was not jealous of what I saw. If I make a change, and I run some tests that were passing a moment ago, and they fail, and the reason why they failed is that Bob hit "save" on his editor (or his editor autosaves) and he made a syntax error in a shared library, and this happened often... I would go insane. I cause enough problems for myself without other people's problems actively intruding at uncontrolled times into my tests.

AI's code writing velocity makes this even worse, there's no way I can be simultaneously working on a code base while an AI agent is running around it doing something else.

It feels like maybe there's a ghost of an idea here about how to get the best of both worlds, but I'm not sure I follow the throughline on it.