subagent-driven-development

To execute independent tasks without context pollution, dispatch fresh subagents per task to maintain isolated contexts. This approach ensures focused work and high-quality iteration during complex implementation plans.

A two-stage review process evaluates spec compliance and code quality through separate reviews. This mechanism ensures that subagent-driven task execution meets functional requirements while maintaining high coding standards.

Automate continuous execution by dispatching specialized subagents to execute all tasks without pauses. The system manages continuous execution automatically, only pausing when encountering blocking issues or completing tasks.

Yes, you can use subagent-based execution for complex implementation plans. It supports task decomposition and utilizes review loops for error handling, ensuring high-quality iteration across modular and independent tasks.

AI coding sessions lose context when running sequential tasks due to context pollution. Dispatching fresh subagents per task maintains isolated contexts, preventing previous task data from degrading execution quality.

You should avoid subagent-driven development when tasks are not modular or cannot be executed independently. The approach relies on task decomposition and isolated contexts, making it unsuitable for tightly coupled execution workflows.