subagent-driven-development

Automating development tasks with subagents involves dispatching a dedicated AI sub-agent for each task in an implementation plan. This skill handles task decomposition and assigns independent sub-agents to execute each part.

The two-stage code review process runs after each sub-agent completes a task. It first checks specification compliance to ensure requirements are met, then evaluates code quality, triggering iterative fixes if issues are found.

Yes, you can use TDD principles with AI-powered subagent execution. The skill ensures adherence to Test-Driven Development practices within the dispatched sub-agents during the implementation process.

Breaking down a complex implementation plan is handled automatically by the skill through task decomposition. It divides the plan into manageable, independent tasks for focused execution by individual sub-agents.

Yes, subagent-driven development manages iterative fixes during code review. It creates feedback loops where sub-agents automatically address and fix issues identified during the specification and quality reviews.

To start executing an implementation plan, provide a detailed plan document like a feature-plan markdown file. The skill will read it, create sub-agents for each task, and iterate until all tasks are complete and approved.