subagent-driven-development

Automating multi-task implementation plan execution works by dispatching isolated, focused subagents for each independent task, applying automated review gates with fix loops, and completing a final whole-branch quality validation without human-in-loop delays.

Subagent-driven development prevents context bloat by dispatching a fresh, isolated subagent for each independent task, keeping implementation strictly targeted to the task's spec requirements and avoiding context pollution across the multi-task workflow.

The best way to ensure spec compliance for decoupled software development tasks is to run automated per-task review gates with automatic fix loops after each subagent completes, verifying quality requirements before moving to the next task.

Tracking progress for automated git workflows across subagent tasks uses durable, git-backed ledgers to record task dispatch and review states, ensuring reliable progress persistence throughout the single-session implementation plan.

You should not use isolated subagents for task automation when your implementation plan contains highly coupled tasks requiring shared context, or when your workflow requires human-in-loop approvals and manual context switching between sequential tasks.

Yes, this task automation workflow supports final whole-branch code review by conducting a broad end-to-end quality validation at the end to catch cross-task issues and ensure the full implementation aligns with the original plan's global constraints before merge.