Wow this is going to be such an impactful feature for us developers.
It does exactly what I thought it would do -- especially once I saw this:
This is your very own team of intelligent coding agents -- you can call it Agent Teams -- which is the official name anyway...
❌ Before:
Only one assistant doing everything -- still far better than manual coding, but I can only make one change at a time.
How about when I have a frustratingly stubborn bug that my assistant is still trying to resolve? And I need to start working on a new feature?
I either have to stop the bug-fixing or I have to waaaait -- no matter how long I'm stuck.
✅ But now -- with the new Claude Code Agent Swarms or Teams feature:
I can spin up multiple AI teammates working in parallel -- all coordinated by a lead agent that organizes the work and combines the results.
Literally an army of developers to take on any batch of tasks -- we've really come a long way ever since Copilot stepped onto the scene in 2022.
So the lead agent breaks down the task and creates multiple teammates -- each running as its own independent Claude Code session.
Every teammate has its own context, its own workflow, and its own focus.
They can:
Work on different parts of a task at the same time
Share progress through a common task list
Message each other directly when coordination is needed
The lead agent’s job is to keep everything moving and present a final result back to you.
This is different from earlier “subagent” approaches where everything still flowed through a single session. Here, the agents are genuinely separate workers.
It makes sense when you look at how people actually work in large codebases
Most real engineering work isn’t one long linear task. It’s investigation, experimentation, implementation, testing, and review happening at the same time.
Agent Teams is designed for that kind of work. Instead of forcing one agent to juggle multiple threads, the system spreads the work across several agents that can move independently.
It also reflects a broader trend across developer tools. AI is moving away from chat-style assistance toward systems that can manage longer workflows with less constant supervision.
Speed is the biggest deal here
For example:
One teammate reviews performance issues while another checks security risks.
Different agents explore competing debugging theories at the same time.
Frontend, backend, and testing tasks can be…
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