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Flat agent teams deadlock in production.

Cursor shipped a flat multi-agent design and watched it stall. The fix was a hierarchy: planners that explore and assign, workers that execute in isolation. Here is the architecture and how to build it on the framework you already use.

• Why flat peer-to-peer agent teams deadlock under any real workload
• How risk aversion creeps in and why every agent ends up waiting
• The two roles in planner-worker, and what each one is responsible for
• Worktree isolation as the safety mechanism that lets workers run in parallel
• Mapping the pattern to LangGraph, AutoGen, and CrewAI with concrete primitives
• Cursor's case study: 8 parallel agents, 1M lines in a week, 25x video render speedup

For educational purposes only. Not professional advice.

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For educational purposes only. Not professional advice.