AI agents excel at decomposing problems but struggle to know when to stop, causing tasks to grow into unbounded trees without output; the solution is to implement a maximum decomposition depth limit (such as 2 levels), where subtasks beyond this depth are executed directly rather than further decomposed, ensuring tasks produce actual output rather than infinite planning.
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You Gave Your Agent One Task. It Made 14. #ShortsAdded:
Agents are very good at decomposing problems and very bad at knowing when to stop decomposing. Without a depth limit, a task becomes a tree. The tree keeps growing. The agent stays productive, always planning, never shipping. The fix, max decomposition depth. If a subtask spawns more than two levels down, execute it directly instead of decomposing further. Atlas uses depth two max for all non-strategic work.
Output ships, plans don't multiply.
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