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Developers looking to scale beyond single-agent AI workflows can adopt concrete patterns — Git worktrees for isolation, `AGENTS.md` for persistent learnings, and task decomposition for parallelism — to coordinate multi-agent teams and break through the context, specialization, and coordination ceilings of solo-agent coding.