subagent-driven-development

To prevent context leakage during AI agent task orchestration, delegate each task to an isolated subagent. This approach enforces fresh contexts and structured state handling, ensuring cross-task contamination is avoided and coordination clarity is preserved.

A two-stage review process in AI-assisted development ensures specifications are met before coding quality checks are run. Subagents perform spec reviews first, then execute quality checks, ensuring traceable quality and compliance before merging results.

You can run independent tasks in parallel by dispatching each task to a new subagent. This task orchestration method enables parallel handling of multiple steps within a single plan while maintaining isolated execution contexts.

Yes, isolated subagents support iterative development in AI-assisted workflows. Structured prompts and state management streamline iterative cycles, allowing fresh subagents to handle tasks independently while enforcing two-stage reviews for compliance.

Use subagent-driven task orchestration for multi-step plans where tasks can run independently. It is ideal when you need to prevent context leakage across complex steps and require rigorous two-stage reviews for traceable quality.

Isolated subagents require tasks to be independent and capable of running without shared context. Limitations include the overhead of managing structured state handling across fresh subagents and ensuring two-stage reviews are properly enforced before merging.