subagent-driven-development

You can automate parallel task execution by dispatching subagents with isolated contexts to handle independent tasks simultaneously. This approach uses implementer and reviewer subagents to ensure continuous execution, code quality, and spec compliance without unnecessary pauses between tasks.

Subagent-driven development is a workflow that orchestrates parallel subagent execution to automate task execution, review, and feedback loops. It requires coordination between implementer subagents that report status and reviewer subagents that enforce code quality and spec compliance for fast iteration.

Yes, parallel development using subagents requires Git worktrees to provide isolated execution environments. This setup allows multiple subagents to work on different independent tasks simultaneously without interfering with each other's codebase changes.

To start a subagent-driven development workflow, you must first define a plan and write a task list. You then execute the subagent-driven-development skill with your task list to dispatch parallel subagents that handle implementation and review automatically.

The best way to ensure code quality during automated task execution is to use a reviewer subagent alongside the implementer subagent. The reviewer continuously checks spec compliance and code quality, creating a feedback loop that maintains high standards across parallel tasks.

You should avoid using parallel subagents for software development when your project tasks are highly interdependent rather than independent. This workflow relies on dispatching isolated contexts for parallel execution, which is ineffective if tasks require continuous sequential integration.