subagent-driven-development

To automate development workflows using AI agents, this Skill orchestrates execution plans by dispatching independent subagents for each task, ensuring isolated context. It manages task status and iterative refinement through dedicated reviewer agents for autonomous implementation.

Two-stage code review in AI-driven agile development implements a mandatory spec compliance check followed by a code quality review. This Skill manages feedback loops between implementer and reviewer agents to ensure high-quality output during iterative improvement.

To execute a feature implementation plan with task automation, this Skill breaks down complex plans into independent tasks and assigns each to a specialized AI subagent. It processes implementation plans found in designated markdown files to coordinate autonomous execution.

Yes, you can use AI subagents to decompose complex implementation plans. This Skill assigns each manageable task to a fresh, specialized AI subagent, maintaining isolated context to autonomously implement, test, and iterate until meeting all requirements.

The limitations of automated code review with AI agents involve dependencies on detailed feature plans. Without structured implementation plans, this Skill cannot decompose tasks or dispatch subagents effectively, restricting its use to predefined plans and requiring higher-level coordination.

Yes, subagent-driven development works for iterative task automation. This Skill manages feedback loops between implementer and reviewer agents, ensuring rigorous two-stage review and iterative refinement through dedicated reviewer agents until all requirements are met.