Running Claude Code agents in parallel can dramatically improve engineering efficiency, but requires deliberate strategies. Key techniques include using git worktrees (via the `claude --worktree` flag) to prevent agents from conflicting in the same repository, minimizing context switching by finishing current tasks before starting new ones and disabling notifications, and maintaining a clear terminal overview using tools like Warp with split tabs and renamed sessions per repository. The author frames humans as orchestrators of AI agents, firing off tasks and interacting only on demand.
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