subagent-driven-development

To use AI subagents for development, you dispatch a feature plan that spawns independent implementer subagents for each task within a single session, accelerating delivery while maintaining context isolation.

A two-stage review workflow checks spec compliance first, then evaluates code quality per task. Dedicated reviewer subagents apply this process to ensure high-quality delivery across all tasks.

To prevent context leakage when orchestrating coding tasks, spawn fresh implementer and reviewer subagents for each individual task. This maintains strict context isolation throughout plan execution.

Yes, you can manage plan-to-task breakdown and final consolidation in one session. Progress orchestration reads the plan and dispatches subagents to execute tasks, seamlessly consolidating the delivery.

The best way to coordinate implementation plans is orchestrating progress by dispatching dedicated subagents per task. This reduces context leakage and preserves traceability across the workflow.

Using fresh subagents for each task maintains isolation and reduces context leakage. The orchestrator applies a two-stage review workflow to ensure high-quality delivery across all executed tasks.