Fan a problem out to a swarm of agents

Agent swarms divide genuinely independent parts of a complex question among parallel coding agents, avoiding the context buildup and sequential delays of a single agent working through every subproblem. Boxd supports this approach by providing each worker with a rapidly launched, isolated Linux machine containing preconfigured coding agents such as Claude Code, Codex, and OpenCode, allowing workers to install software, run tests, investigate errors, and return reports through shell execution. A typical workflow uses a coordinator to create machines for specialized scouts, collect their outputs, and assign a separate lead agent to synthesize a final recommendation before the workers are destroyed. Workers can also communicate through privately addressable shared services when needed, while network partitioning and isolated environments limit unintended access between tasks. Warm machine forks and golden images can accelerate tasks requiring existing repositories, dependencies, or memory state, though the model emphasizes that swarms are most useful only for independent work, require careful synthesis, consume tokens per agent, and improve speed rather than cost.

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