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Chapter 01 · 5 min

Why a team beats a solo session

You write the code, then review it, then test it, then open the PR, then update the docs: every task behind the last one, all day. Claude Code can run those at the same time: one agent per task while you move to the next feature. This course shows how to set that up without burning tokens or blowing up your repo.

A lone craftsman who cuts, sands, finishes, and packs every chair himself ships one a day. A workshop where four people each own a station ships four, and nobody waits.

The sequential tax

A four-part feature (backend, frontend, tests, review) done one piece at a time takes most of a day. Worse, your single context window bloats as you switch between unrelated tasks, so the model carries the frontend's mess into the backend's reasoning.

What changes with a team

Run the four in parallel and a lead agent coordinates them. Each teammate works in its own clean context. The same feature lands in a couple of hours, and you spend your time reviewing and merging rather than typing every step yourself.

SOLO                          TEAM
 backend                       backend  ┐
   then frontend                frontend ├─ in parallel
     then tests                 tests    │
       then review              review   ┘
 ~1 day, one context          ~2 hrs, clean contexts
Same work, same subscription. The difference is whether the tasks queue or run side by side.

What this course covers

  • Chapter 2, The three levels: subagents, Agent View, and Agent Teams, and which problem each solves.
  • Chapter 3, Your first team: turn the feature on, then write a prompt that lets a lead agent decompose the work.
  • Chapter 4, Cost and models: route teammates onto a cheaper model and understand what actually caps spend.
  • Chapter 5, Manage and choose: drive everything from Agent View, and a rule for when *not* to staff a team.
  • Chapter 6, Guardrails and setup: permission rules plus a copy-paste configuration.

In one line each

  • Done sequentially, a multi-part feature eats a day and bloats one context window.
  • A lead agent plus parallel teammates does the same work faster, each in its own clean context.
  • The change costs one environment variable and a prompt that says 'spawn separate agents', not a new tool or plan.
Why a team beats a solo session · AI courses · SDEN