Subagent-Driven Development

Automated task orchestration dispatches a fresh subagent for each task to execute implementation plans rapidly. It applies code-review gates between tasks to maintain quality, enable task isolation, and provide structured feedback.

Context pollution happens when a single agent accumulates state from previous tasks, degrading output quality. Dispatching a fresh subagent per task prevents this by ensuring task isolation and enabling parallelizable progress without cross-task interference.

Automated code-review gates are added by running a review step after each task completes before proceeding. This workflow detects issues early, guides necessary fixes, and ensures separation of concerns before final integration checks.

Managing rapid iteration for multiple independent tasks is best handled by a reproducible workflow using per-task subagents. This approach enables structured feedback, task isolation, and auditability from initial plan loading to final release readiness review.

Fresh subagents for task execution are needed when working with plans containing multiple independent tasks that require rapid iteration. This approach ensures task isolation, prevents context pollution, and maintains auditability throughout the workflow.

Subagent-driven development works without external dependencies, relying solely on an internal orchestration workflow. It manages task execution, code-review steps, and final integration checks entirely through its reproducible per-task subagent dispatch mechanism.