subagent-driven-development

Executing implementation plans with parallel subagents involves dispatching independent tasks to dedicated agents for concurrent development. This approach manages task execution within a single session to streamline complex feature development.

A two-stage code review process evaluates task execution by first checking spec compliance, then verifying overall code quality. This rigorous cycle allows subagents to iteratively fix identified issues before proceeding.

Managing isolated development environments for multiple subagents integrates with git worktrees. This setup allows parallel task execution without conflicts, ensuring each dedicated subagent works independently.

Yes, subagent-driven development supports test-driven development principles. It integrates TDD into the parallel task execution workflow, ensuring components are built and reviewed against quality checks iteratively.

Yes, you can use this workflow for developing features with multiple distinct components. It breaks down complex implementation plans into independent tasks, ensuring each component is built and reviewed for correctness before moving to the next.

A key limitation of using subagents for parallel task execution is that tasks must be independent to run concurrently. The workflow relies on a single session to manage the two-stage review process and iterative fixes.