obra/superpowers@subagent-driven-development

Automate code implementation from a feature plan by dispatching independent AI subagents to handle task execution, spec compliance review, and code quality assessment through automated iterative refinement loops.

Subagent-driven development is an AI orchestration technique that breaks down complex plans into independent tasks, dispatching specialized subagents for implementation and two-stage review to ensure spec adherence and code quality.

Automated spec compliance review works by dispatching a dedicated AI subagent to evaluate implemented code against predefined plans, triggering automated feedback loops that enforce iterative refinement until quality standards are met.

Yes, you can use AI subagents to automate TDD and code review simultaneously by orchestrating specialized agents that implement tasks, write tests, commit code, and perform two-stage quality and spec reviews.

Yes, you need a predefined feature plan with multiple distinct coding tasks, because the subagent-driven development process decomposes that plan into independent, manageable tasks for automated implementation and review.

The limitation of automating code review with AI subagents is that quality assessment is bounded by the predefined plan and specifications, relying entirely on automated feedback loops to enforce iterative refinement without human intervention.