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Claude Code Basics Lesson 37 of 46

Teams: When Agents Talk to Each Other

In short
  • Sub-agents work in isolation: they don't talk to each other.
  • In a team, on the other hand, they coordinate, over a shared task list.
  • It's the most impressive thing to watch and the most expensive to use.
  • Ninety percent of the time, a well-instructed helper is enough.

The limit of helpers

You can send several helpers in parallel, and this happens often: three rooms, three jobs, three results coming back to you. But those three have no idea the others exist.

That's completely fine for independent jobs. It becomes a problem when the second one would need to know what the first one found: in that case either you act as the bridge yourself, or the three jobs step on each other's toes.

The team: when they talk to each other

A team of agents is the level above: several agents working together by coordinating. There's a shared task list, each one picks up its own, and they pass information while working — one waits for another to finish its piece, one checks what another has done.

The difference in one line: sub-agents are three people in three closed rooms; a team is a meeting.

There's nothing to prepare in advance: you just ask out loud, saying you want a group of agents to take on that job, and it invents the roles itself depending on the task.

The bill, which is the important thing here

If a helper costs something because it starts from zero, five helpers talking to each other cost five times as much, plus coordination. And coordination isn't free: every exchange between two members is work someone pays for.

It's worth being blunt, because it's the thing that saves you the most money in this basics course: a team is spectacular to watch — seeing the figures talk to each other really does feel like science fiction — and it's almost always overkill.

When it genuinely makes sense

  • The job is big and splits well into pieces that can proceed in parallel.

  • The pieces need to talk to each other: if they're independent, ordinary helpers are enough.

  • You already have a clear plan in hand. A group launched at a vague goal produces five different interpretations instead of one.

If even one of these is missing, a well-instructed helper does the same job for a fraction of the cost, with far fewer things that can go wrong.

What stays in your hands

If you do try it, there's a single control point and it's at the start: the task list. It's what every member will follow, so that's where you check whether the job was understood correctly — exactly like reading a plan.

If the list is right, the rest tends to follow. If the list is wrong, you have five agents getting it wrong together, fast, and on your bill.

And now

Third bucket closed. In the next lesson we put it to the test on the most common case of all, and you'll see that the difference isn't just tidiness: it's the quality of the result.

Did you get it?

Two minutes, no grade. Trying to answer — even getting it wrong — cements the concepts far more than rereading. Not in the mood? Skip it: the lesson still counts as complete.

What is the difference between sub-agents in parallel and a team?

When does a team actually make sense?

Course Claude Code Basics
  1. Chapter 1 Introduction

    1. 1 The Claude Ecosystem and Where Claude Code Fits
    2. 2 What Claude Code Is: The Collaborator Who Walks Into Your Studio
    3. 3 How an Agent Works: The Loop
  2. Chapter 2 What's Underneath

    1. 4 Claude Code in Action: The Loop, for Real
    2. 5 The Model Has No Memory: It Starts Over Every Time
    3. 6 The Harness: The Engine and the Gear Around It
    4. 7 The Map: Four Buckets
  3. Chapter 3 You Choose the Engine

    1. 8 There's No Single Claude: The Model Lineup
    2. 9 Which Model for Which Job
    3. 10 Effort: How Hard It Should Think
    4. 11 Model or Effort? The Question That Trips Everyone Up
    5. 12 The Bill: Why Saving Money Can Cost You More
  4. Chapter 4 First Time at the Controls

    1. 13 Where to Run It: Four Doors In
    2. 14 What You Need Before You Start
    3. 15 Installing Claude Code
    4. 16 The Folder: Where You Open It Decides What It Works On
    5. 17 Choosing the Engine, in Practice
    6. 18 Your First Task: Small, Yours, and It Works
  5. Chapter 5 What You Let It Touch

    1. 19 Why It Asks for Permission
    2. 20 The Rules: Always Yes, Ask Me, Never
    3. 21 The Modes: How Much Leash You Give It
    4. 22 Plan Mode: Get the Plan Before the Work
    5. 23 Verification in the Loop: Give It a Yardstick
    6. 24 Example: Putting the Bucket Together
  6. Chapter 6 What It Knows About You

    1. 25 CLAUDE.md: The Notes It Reads the Moment It Walks In
    2. 26 How to Write a CLAUDE.md That Actually Works
    3. 27 The Context Window: How Much It Can Hold at Once
    4. 28 Cleaning Up: Compact and Clear
    5. 29 Automatic Memory
    6. 30 Example: From Repeating Yourself to Never Again
  7. Chapter 7 Skills

    1. 31 What a Skill Is: A Procedure Written Once
    2. 32 Creating Your First Skill
    3. 33 The Description Decides Whether It Gets Used
    4. 34 Example: A Skill That Saves You the Week
  8. Chapter 8 How Many You Put to Work

    1. 35 The Subagent: A Helper With Its Own Desk
    2. 36 When a Helper Is Worth It (and What It Costs)
    3. 37 Teams: When Agents Talk to Each Other
    4. 38 Example: Searching Without Cluttering the Desk
  9. Chapter 9 What It's Connected To

    1. 39 MCP: The Standard Plug Into Your Tools
    2. 40 Plugins: Packaging Up and Borrowing
    3. 41 Example: When You Stop Copying and Pasting
  10. Chapter 10 Automating the Setup

    1. 42 Hooks: The Thing That Always Happens
    2. 43 Where It Fires and What It Can Do
    3. 44 When You Actually Need One (and When It's Too Much)
  11. Chapter 11 Wrap-Up

    1. 45 The Project: Your Expense Tracker
    2. 46 Wrap-Up: What You're Taking Home
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