sadd:subagent-driven-development

You can prevent context leakage by dispatching a fresh subagent for each task, which isolates execution state. This approach preserves context by ensuring subagents operate independently without carrying over previous task history.

Enforcing code reviews between parallel agent tasks requires an orchestration workflow with integrated quality gates. This validates subagent results after parallel execution completes, catching issues early before proceeding to the next task.

Yes, you can run both sequential and parallel execution modes for multi-task plans. The orchestration workflow supports dispatching subagents in parallel for independent tasks or sequentially when ordered execution matters.

To orchestrate plan-driven work with isolated subagent execution, load a decomposable plan and dispatch fresh subagents per task. Results are validated through enforced code reviews before iterating further.

Dispatching fresh subagents per task works for rapid iteration workflows by isolating execution state and enforcing code reviews as quality gates. This accelerates high-quality iteration for plans decomposed into independent tasks.

You should avoid using fresh subagents for task execution when your plan cannot be decomposed into independent tasks within a single session. This approach requires task independence to enable isolated state and effective parallel execution.