What is a 'handoff' in this context?

A handoff is the process of defining a clear scope, providing specific context, and setting success criteria for the subagent before it begins its work.

When should I use a subagent instead of the main agent?

Use a subagent for complex subtasks, when the main agent is going in circles, for parallel work, or when you need specialized research without cluttering your main workflow.

What is Subagent Driven Development?

It is a workflow pattern for Claude Code that utilizes isolated, short-lived AI agents for specific subtasks to maintain a clean context and improve problem-solving accuracy.

Can I use subagents for code reviews?

Yes, subagents are excellent for focused tasks like PR reviews, dependency analysis, or identifying specific patterns across a codebase.

How does this prevent context pollution?

By launching a fresh agent for a specific task, you ensure the subagent only processes relevant files and instructions, avoiding the 'noise' of the long-term project history.

Subagent Driven Development

Name: Subagent Driven Development
Author: a-ariff

bya-ariff

生产力与工作流

Optimizes complex coding tasks by delegating focused subtasks to fresh AI agents to prevent context pollution and improve accuracy.

关于

Subagent Driven Development is a specialized workflow skill for Claude Code designed to maintain high performance during complex projects. By implementing a 'Fresh Agent = Fresh Context' philosophy, this skill provides a structured framework for breaking down large requirements into isolated, manageable subtasks. It includes standardized handoff templates, clear success criteria, and anti-pattern warnings to ensure that subagents remain focused, reducing the risk of context pollution and logical loops. This approach is ideal for parallelizing research, debugging specific modules, or generating documentation without overwhelming the main agent's working memory.

主要功能

Compatibility with scope and assumption verification checkers
Integration workflows for merging subagent results into the main project
Context isolation protocols to prevent AI performance degradation
0 GitHub stars
Anti-pattern identification to stop vague or overly broad instructions
Standardized handoff templates for precise task delegation

使用场景

Performing deep-dive research into specific library implementations without cluttering the main dev thread
Isolating a bug hunt in a large repository to prevent the main agent from losing track of the architecture
Generating unit tests and documentation for multiple modules in parallel

关于

主要功能

Compatibility with scope and assumption verification checkers
Integration workflows for merging subagent results into the main project
Context isolation protocols to prevent AI performance degradation
0 GitHub stars
Anti-pattern identification to stop vague or overly broad instructions
Standardized handoff templates for precise task delegation

使用场景

Performing deep-dive research into specific library implementations without cluttering the main dev thread
Isolating a bug hunt in a large repository to prevent the main agent from losing track of the architecture
Generating unit tests and documentation for multiple modules in parallel