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20. Teams, Sessions and Worktrees (Four Ways to Run AI Work in Parallel)
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In Episode 20 of Beyond Prompting , author Sho Shimoda clarifies how to run multiple AI tasks concurrently without getting tangled in state or disk conflicts. While Chapter 19 focused on subagents, Chapter 20 introduces three other mechanisms for parallelism, organizing all four around what gets separated: context, attention, whole sessions, or files. In this episode, we cover: The Four Parallelism Mechanisms: Distinguishing between Subagents (separates context window), Background Sessions (separates attention), Agent Teams (separates whole sessions), and Git Worktrees (separates working tree files). Teammates vs. Subagents: Why teammates in an agent team operate as peer sessions that…