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Autonomous coding loops automate complex tasks by decomposing them into manageable sub-tasks, delegating execution to subagents, and tracking progress with completion detection until the feature is fully developed.

Task decomposition splits large coding problems into independent chunks, delegating them to specialized subagents for parallel execution while a managed loop tracks progress and validates results.

Human-in-the-loop review intervals are supported during autonomous coding execution, allowing you to configure periodic human oversight to ensure alignment and quality before the loop continues.

A managed non-recursive loop controls execution by implementing configurable iteration limits and circuit breakers, ensuring robust progress tracking and preventing infinite loops during task delegation.

You provide a high-level feature description to the autonomous coding loop, which then decomposes the task, assigns sub-tasks to subagents, validates results, and iterates until completion.

Circuit breakers in an autonomous coding loop halt execution upon detecting persistent failures or exceeding configurable iteration limits, stopping the delegation process to prevent uncontrolled errors.