Parallel agents hit a human limit faster than a system limit
Running multiple coding agents in parallel feels like a speed win until the bottleneck becomes the person trying to supervise all of them.
Shaping with AI
Running multiple coding agents in parallel feels like a speed win until the bottleneck becomes the person trying to supervise all of them.
A practical walkthrough of setting up Claude Code agent teams with clear roles, task ownership, communication rules, review steps, and lightweight output contracts.
A hands-on case study of using Codex subagents to coordinate data collection, preparation, and Slidev report generation in parallel.
If you've been using Claude Code for a while, you already know **subagents**. They're the workhorses behind the `Task` tool — you send one off to research something, it comes back with results, and you move on. Simple, effective, and cheap on tokens.