My most-read article this year explains why you should run coding agents in parallel and the ideas that make it manageable. This post is the other half: the complete setup, exactly as it runs on my machine.
The original article was a high-level overview of my setup. This is a more in detail view into exactly how I do things, so you can copy it over to your own workflow. This is precisely the tooling, ideas, and techniques that I apply on a daily basis as a Data Science Lead shipping AI systems.
What's inside
The worktree layout that isolates each agent, with the exact commands
My terminal layout rule (tabs, panes, and when to use the agents view)
The sound-hook config so agents interrupt you, not the other way around
The two CLAUDE.md rules that make returning to a thread take seconds
The verifiable-task prompt template so agents check their own work before reporting
How I pick which tasks to parallelize (and which never to)
My cleanup routine for stale worktrees and dead sessions
If you set this up once, running five agents feels like running one. Let's go through it.


