I'm in a different direction on this, worktrees don't solve the problem for me, this is stuck in 1 agent = 1 task mode. I want a swarm of agents on 1 task.
There's a couple of agent personas i go back to over and over (researcher, designer, critic, implementer, summariser), for most tasks i reuse 90%+ of the same prompt, but implementer has variants, one that's primed with an llms.txt (see answerdotai) for a given library i want to use, another that's configured to use gemini (i prefer its tailwind capabilities) rather than claude etc.
To organise these reusable agents i'm currently test driving langroid, each agent contributes via a sub task.
It's not perfect yet though.
I think you misread. The point I make is that it's many agents = 1 task.
Since the probability of a LLM succeeding at any given task is sub 100%, you should run multiple of the same LLM with the same prompted task in parallel.
I think OP means they should be collaborating. In the posters proposed solution each agent is independent. But you could reduce the human attention required by having multiple rounds of evaluation and feedback from other agents before it gets to the human.