Comment by jauntywundrkind

AI makes coding plans that often come up with phases. It can be interesting to ask it to skip a phase, and do the next one. You can get interesting data about prospective other futures.

IMO using subagents to generate good context is a huge win. That doesn't really require a worktree. But once you have good starting places, good contexts you can feed into a LLM, there's IMO not much concern about "build it's own context" (it's already provided right here) nor "wastes tokens" (since is GoodPut / GoodTokens).

the workflow of how we feel and build contexts is the art of this all right now. this project is on point. it's going to be a boom year for Terminal Multiplexing.