subagent-driven-development

Automated task execution for plan-driven workflows is achieved by spawning a fresh subagent for each task. This approach prevents context pollution and inserts a code-review gate between tasks to catch issues early before proceeding.

Interim code reviews for independent coding tasks are handled by creating per-task subagents that execute the work. A built-in review step validates each subagent's results and addresses feedback automatically before moving to the next task.

To start subagent-driven development, prepare a plan file outlining all tasks. Initiate the workflow to automatically generate per-task subagents and execute code reviews between tasks, then review results and address feedback before proceeding.

Automated task orchestration via subagents is ideal for multi-task sessions where tasks are largely independent. It requires a plan outline and a per-task subagent workflow to isolate execution, making it less suited for tightly dependent task chains.

Fresh subagents for each plan task are needed in AI-assisted development to avoid context pollution. By isolating execution environments and applying code reviews between tasks, iterations remain fast without cross-task interference.

Limitations of subagent-driven code generation include the requirement for a pre-defined plan outline and a structured per-task workflow. It is designed for independent task delivery, meaning highly interdependent tasks may not benefit from the isolated subagent approach.