Feb 7
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In this video, I break down Claude Code's most significant experimental feature yet: Agent Teams. This update allows you to run multiple independent Claude instances that work together as a coordinated team, messaging each other and solving complex problems in parallel. I'll show you how to enable it, how the architecture works, and why this peer-to-peer communication model is a game changer for AI coding. -- Key Takeaways: đ¤ Agent Teams allow multiple Claude Code instances to work together with peer-to-peer messaging. đŁď¸ Unlike subagents, teammates have independent context windows and don't just report back to a lead. âď¸ You can enable this experimental feature by setting a specific environment variable in your terminal or settings. đĽď¸ The tmux backend allows you to visualize the team working in real-time using split panes. đ Perfect for PR reviews, multi-module feature building, and debugging with competing hypotheses. đ¸ Token usage is significantly higher as you are paying for multiple concurrent active sessions. â ď¸ Current limitations include no session resumption, occasional implementation issues by the lead, and static permissions.