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A few reasons parallel workspaces matter:
  • Keep context aligned: Create dedicated workspaces for threads like code-review, refactor, and new-feature.
  • Run long jobs in the background: Kick off a slow, high-accuracy model for a deep investigation or refactor.
    • Streams resume after restarts or intermittent connection issues.
    • mux shows an indicator when the model finishes.
  • A/B implementations: Try multiple approaches to the same problem and keep the best one.
  • Tangent management: Fork or create a new workspace for side quests so the main thread stays focused.