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Automating phased implementation plans involves orchestrating specialized subagents to handle discrete tasks like code writing, verification, and committing. This approach breaks down large features into manageable phases, ensuring each step meets defined criteria before proceeding.

Subagent orchestration is the coordination of specialized agents for implementation, verification, anti-pattern checks, code quality review, and committing changes. It manages discrete task deployment to ensure robust software development workflows and prevent failure modes.

You can execute multi-step plans by deploying dedicated subagents for each phase, including implementation and verification. Automated verification ensures each phase meets defined criteria against a checklist before proceeding to commit changes.

Yes, you can use specialized anti-pattern subagents to check for common errors during code deployment. The orchestration process assigns specific objectives to anti-pattern and code quality subagents before committing changes.

The primary limitation of subagent orchestration is its complexity, requiring strict adherence to execution protocols and failure mode prevention. It is designed for complex, multi-step plans rather than simple, linear code changes.