subagent-driven-development

You can execute a complex implementation plan using AI subagents by breaking it down into independent tasks, dispatching a fresh subagent for each, and running iterative refinement loops with a two-stage review process for spec compliance and code quality within a single session.

Two-stage code review in iterative AI development is a mandatory process where each task completed by a subagent undergoes a spec compliance review followed by a code quality review, managing refinement loops to fix any identified issues.

Task decomposition for AI-assisted feature implementation works by automatically breaking down a detailed plan document into manageable, independent tasks, assigning each to a dedicated AI subagent for sequential implementation.

Yes, you can use subagent-driven development to handle independent coding tasks sequentially by dispatching a fresh AI subagent for each task and managing iterative refinement loops to ensure high-quality code within a single session.

The best way to automate spec compliance checks during plan execution is to implement a two-stage review process where each subagent's output is evaluated against the plan specifications before undergoing a separate code quality review.