subagent-driven-development

Automate multi-task code generation by dispatching a fresh subagent per task with isolated context, preventing cross-task contamination while maintaining workflow coordination. Each subagent receives task-specific instructions independently to execute without leaking context into other tasks.

Subagent task dispatch works by allocating independent subagents to execute each task from a plan with isolated context and task-specific instructions. After each task completes, the system runs spec-compliance and code-quality reviews, looping until all issues are resolved.

Yes, you can run automated spec-compliance and code-quality reviews after each task. The workflow applies a two-stage review process per task, looping through reviews until issues are resolved and all tasks are approved before final completion.

The best way to orchestrate an AI workflow for independent tasks is using a subagent-driven approach that delegates tasks to fresh agents within a single session. This preserves coordination and session clarity while ensuring all tasks pass two-stage reviews before completion.

Yes, you need an existing implementation plan because the workflow takes a plan as input and dispatches a fresh subagent per task. The orchestration spans from plan intake to completed tasks, applying reviews until all tasks pass and are approved.

You should not use autonomous subagents for task execution when your work requires shared context across tasks or lacks clear task-specific instructions. The subagent-driven approach relies on isolated context per task and structured two-stage reviews to maintain quality and alignment.