subagent-driven-development

You can automate iterative development by dispatching independent AI subagents for each task, followed by sequential spec compliance and code quality reviews. This orchestrates implementation plans while managing task execution within a single session to preserve context.

The best way to handle complex feature plans is using task decomposition to automatically break them down into manageable, independent tasks. Each task is then assigned to a specialized AI subagent for implementation and automated code review.

Automated spec compliance review works through a mandatory two-stage process after each task is implemented. The system sequentially checks that the generated code meets all feature requirements and quality standards before proceeding to the next task.

Yes, you can minimize human-in-the-loop interruptions by maximizing agent autonomy for task completion. The system manages task execution within a single session, using automated review loops for iterative refinement without requiring constant manual input.

Yes, you need a detailed implementation plan file, such as a markdown document. The skill orchestrates the AI agents to write, test, and review each component of your feature based on the requirements defined in that plan.

Context is lost when tasks are not managed within a single session. This skill solves that by orchestrating task execution and automated code review loops within one session, ensuring context preservation and iterative refinement throughout development.