subagent-driven-development

Automating implementation plan execution is achieved by decomposing plans into independent tasks and dispatching dedicated subagents for each. This approach manages task execution within the same session, using fresh context per task to prevent parallel agent conflicts.

A two-stage review process works by having specialized subagents evaluate both spec compliance and code quality after implementation. It handles iterative fixes through review loops, ensuring autonomous execution meets requirements without constant human intervention.

Yes, you can use autonomous agents to execute detailed feature plans independently. The system breaks down large plans into manageable tasks, dispatching specialized subagents for implementation and rigorous review stages.

The best way to manage task execution and prevent parallel agent conflicts is to process tasks sequentially within the same session. This ensures each task receives a fresh context, avoiding context overlap and parallel execution issues.

Ensuring spec compliance and code quality requires a two-stage review process dispatched after implementation. The system handles iterative fixes through automated review loops, verifying that each independent task meets both specifications and quality standards.

You need to break down large implementation plans into independent tasks when automating complex feature development. This task decomposition allows dedicated subagents to handle manageable chunks, ensuring rigorous review and adherence to requirements.