subagent-driven-development

To automate task execution with fresh subagents, you dispatch a new subagent for each independent task in your plan, keeping context isolated and enabling rapid parallel progress within a single session.

A two-stage review workflow evaluates subagent output by first checking spec compliance, then assessing code quality, ensuring that automated task execution meets both functional and structural requirements.

Subagent orchestration is designed for largely independent tasks where context can be isolated, making it less suitable for tightly dependent tasks that require shared context and sequential progression.

You manage context isolation by routing each independent task to a fresh subagent, which prevents context bleed and maintains focused execution for rapid parallel progress during the session.

The best way to structure prompts for LLM task orchestration is to use guided templates and flow control, ensuring each fresh subagent receives specific instructions for its independent task.

Subagent-driven development uses a final integration step to merge the isolated outputs of parallel tasks into a cohesive result, ensuring the independent subagents produce a unified deliverable.