When should I use this skill over standard execution?

Use this skill when you have a multi-step implementation plan with tasks that are relatively independent and you want to maintain high quality and velocity without switching sessions.

How does the two-stage review process work?

Every task is first reviewed by a specialized subagent to ensure it matches the original specification. Once cleared, a second review focuses on architectural quality, performance, and coding standards.

What is Subagent-Driven Development?

It is a methodology for Claude Code that uses fresh AI subagents for individual tasks to maintain clean context, paired with multi-stage reviews to ensure both functional compliance and code quality.

Why use fresh subagents for every task?

Fresh subagents prevent 'context pollution' where previous code iterations or unrelated errors might interfere with the current task, leading to more reliable and modular implementations.

Subagent-Driven Development

Name: Subagent-Driven Development
Author: pur3v4d3r

bypur3v4d3r

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생산성 및 워크플로

Executes complex implementation plans by dispatching specialized subagents for per-task execution and mandatory two-stage quality reviews.

소개

The Subagent-Driven Development skill streamlines software implementation by decomposing plans into independent tasks handled by fresh AI subagents. This approach eliminates context pollution and ensures high-quality output through a rigorous two-stage validation process: a specification compliance review followed by a code quality review. By automating these checkpoints within a single session, it allows developers to iterate rapidly while maintaining strict adherence to project requirements and coding standards, effectively treating the AI as a team of specialized implementers and reviewers.

주요 기능

Automated task management and progress tracking via TodoWrite
Seamless integration with TDD and final branch cleanup workflows
Pre-implementation clarification loop to surface questions before work starts
1 GitHub stars
Two-stage review loop covering both spec compliance and code quality
Fresh subagent per task to prevent context pollution and hallucinations

사용 사례

Automating the iterative feedback loop between implementation and review
Maintaining high code quality and spec adherence in complex codebases
Executing multi-step feature implementation plans within a single session

소개

주요 기능

Automated task management and progress tracking via TodoWrite
Seamless integration with TDD and final branch cleanup workflows
Pre-implementation clarification loop to surface questions before work starts
1 GitHub stars
Two-stage review loop covering both spec compliance and code quality
Fresh subagent per task to prevent context pollution and hallucinations

사용 사례

Automating the iterative feedback loop between implementation and review
Maintaining high code quality and spec adherence in complex codebases
Executing multi-step feature implementation plans within a single session