subagent-driven-development

To coordinate subagents for a multi-task implementation plan, you dispatch a fresh implementer per task to reduce context pollution, then run spec compliance and code quality review loops until each task is approved.

The best way to enforce spec compliance during code implementation is running a two-stage review checkpoint that validates task specifications first, followed by a code quality review with repeated fixes until both stages pass.

Subagent-driven development improves code quality in Git workflows by orchestrating independent task execution within the same session, applying review-gated iterations that require both spec compliance and final overall code review approvals before completion.

Yes, you can use task orchestration for executing mostly independent software engineering tasks within the same session. It extracts full task text and context from implementation plans, creating TodoWrite items to track completion.

Dispatching a fresh subagent per task reduces context pollution because each independent implementer operates without prior task memory, keeping iterations tight and preventing unrelated code from degrading spec compliance during multi-task execution.

A limitation of using subagent-driven development for complex implementation plans is that it requires tasks to be mostly independent. Interdependent tasks may struggle with the fresh subagent dispatch model and strict sequential two-stage review gating.