dispatching-parallel-agents

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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

AI & Automation 30,590 stars 3453 forks Updated today MIT

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# Dispatching Parallel Agents ## Overview When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel. **Core principle:** Dispatch one agent per independent problem domain. Let them work concurrently. ## When to Use ```dot digraph when_to_use { "Multiple failures?" [shape=diamond]; "Are they independent?" [shape=diamond]; "Single agent investigates all" [shape=box]; "One agent per problem domain" [shape=box]; "Can they work in parallel?" [shape=diamond]; "Sequential agents" [shape=box]; "Parallel dispatch" [shape=box]; "Multiple failures?" -> "Are they independent?" [label="yes"]; "Are they independent?" -> "Single agent investigates all" [label="no - related"]; "Are they independent?" -> "Can they work in parallel?" [label="yes"]; "Can they work in parallel?" -> "Parallel dispatch" [label="yes"]; "Can they work in parallel?" -> "Sequential agents" [label="no - shared state"]; } ``` **Use when:** - 3+ test files failing with different root causes - Multiple subsystems broken independently - Each problem can be understood without context from others - No shared state between investigations **Don't use when:** - Failures are related (fix one might fix others) - Need to understand full system state - Agents would interfere with each other ## The Pattern ### 1. Identify Inde...

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Author
davila7
Repository
davila7/claude-code-templates
Created
1 years ago
Last Updated
today
Language
Python
License
MIT

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