subagent-driven-development

You can automate implementation plan execution by dispatching a fresh AI subagent for each task. This Skill manages the execution by having subagents write code, test it, and ensure it meets specifications within a single session.

A two-stage review process validates AI-generated code by first checking spec compliance and then evaluating code quality. This Skill enforces iterative refinement by having subagents fix identified issues and undergo re-reviews until standards are met.

Subagent-driven development handles iterative refinement by looping subagents through issue fixing and re-reviews. When the two-stage review process identifies spec or quality issues, subagents resolve them and undergo subsequent reviews to ensure high-quality code.

Yes, you can use AI subagents to execute tasks from a markdown plan file. You simply point the Skill to your implementation plan file path, and it dispatches independent subagents to execute each task sequentially within the same session.

Automated spec compliance review streamlines but does not fully replace manual code checks. This Skill automates the initial validation by verifying code against specifications and quality standards, but human oversight remains valuable for complex architectural decisions.

Using independent AI subagents for software feature development ensures fresh context and focused execution for each task. This approach maintains code quality through isolated task execution and rigorous multi-stage reviews, facilitating rapid and reliable development.