subagent-driven-development

You can automate implementation plans by dispatching independent AI subagents per task, using a two-stage review process for spec compliance and code quality to manage iterative refinement within a single session.

Task decomposition automatically breaks down complex implementation plans into independent tasks, assigning each to a dedicated AI subagent for focused implementation and rapid iteration.

The two-stage review process implements rigorous checks for spec compliance and code quality after each task, managing review feedback loops to ensure issues are fixed before proceeding.

Yes, executing implementation plans requires integration with git worktrees, plan writing, code review, and branch finishing superpowers to manage task decomposition and subagent interaction.

Yes, you can execute an implementation plan located at a specific file path like ./docs/plans/feature-plan.md, autonomously handling each step from initial coding to final review.

The approach manages iterative refinement within a single session and relies on breaking down implementation plans into independent tasks, which may not suit highly interdependent or stateful task structures.