subagent-driven-development

Fresh per-task subagents isolate execution contexts for each task, preventing cross-task context pollution. This approach accelerates iteration and enforces plan fidelity without leaking variables between parallel implementation tasks.

A two-stage review process for incremental code quality enforces spec compliance first, then evaluates code quality across multiple files. This mechanism ensures implementation plans meet specifications while maintaining high throughput during subagent-driven execution.

You can parallelize spec reviews and implementation plans by dispatching a subagent-driven workflow that extracts tasks from your plan and assigns each to an isolated subagent. This allows coordinated completion of parallelizable tasks within a single session.

Yes, subagent-driven development supports incremental code reviews by enforcing a two-stage review process across multiple files. It applies to tasks that require spec compliance checks and code quality reviews during plan execution.

Use isolated subagents for workflow plan management when executing multiple independent tasks in a single session. This approach is ideal when tasks require parallelizable planning and you need to avoid context pollution between concurrent development tasks.

Cross-task context pollution slows iteration because shared execution contexts cause interference between independent tasks. Dispatching fresh subagents per task isolates context, reducing pollution and accelerating incremental code quality reviews across the implementation plan.