subagent-driven-development

Subagent-driven development executes implementation plans by delegating fresh, isolated subagents to individual tasks, preserving context for rapid iteration. This prevents context leakage and maintains focus during complex multi-task workflows.

The two-stage review workflow evaluates code generation by first checking spec compliance, then assessing code quality. This structured process runs after each individual task is executed by a subagent to ensure implementation meets requirements.

Yes, subagent-driven development supports parallel task coordination within a single session while maintaining isolation between tasks. Fresh subagents handle individual tasks independently to enable fast iteration and modular implementation.

Structured handoffs between AI agents use provided templates to transition tasks between fresh subagents. This ensures clear context transfer and preserves development continuity throughout the implementation plan execution.

Use isolated subagents for complex multi-task plans, R&D experiments, and modular implementation where context preservation is critical. Fresh subagents prevent context leakage, enabling rapid iteration that a single agent cannot maintain.

Yes, subagent-driven development requires clearly defined prompts to dispatch per-task implementer subagents. These prompts guide fresh subagents through individual task execution and the two-stage review workflow.