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Swarm-style development with tmux (and why it changes your throughput)
Most developers use AI as a single assistant. Team Agent turns it into a parallel delivery system — with you as the architect in the loop.
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Core thesis
Parallel agents beat sequential prompting.
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What enables it
Claude Code Team Agent + Antigravity + tmux.
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Outcome
Faster shipping with clearer ownership boundaries.
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This doc outlines a specialized integration of Claude Code’s Team Agent features inside the Antigravity IDE environment.
The goal is to reach a pragmatic form of agentic development: multiple AI models collaborate in parallel while you keep architectural control, review changes, and merge output.
<aside> 🧩
In Team Agent mode, Claude Code transitions from “one assistant” to a supervisor + specialists pattern.
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Lead agent
The interface you prompt. Decomposes the mission, assigns work, and merges results.
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Teammates
Parallel sub-agents (T1/T2/T3…) each running an isolated workstream (DB, API, UI, QA).
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Orchestration
Antigravity gives “mission control” visibility; Claude Code drives terminal execution.
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Expectation setting: Team agents burn tokens faster (multiple contexts). Budget for it.
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