Understanding AI Agents in CCJK

AI Agents are one of the most powerful features in CCJK. They are specialized assistants designed to handle specific types of tasks with expertise and efficiency.

What Are AI Agents?

Think of AI agents as expert colleagues who specialize in different areas:

• Code Review Agent - Reviews your code for bugs, security issues, and best practices
• Documentation Agent - Generates and maintains documentation
• Testing Agent - Creates comprehensive test suites
• Refactoring Agent - Suggests and implements code improvements
• Security Agent - Identifies vulnerabilities and suggests fixes

How Agents Work

Agents use a combination of:

1. Specialized Prompts - Carefully crafted instructions for specific tasks
2. Context Awareness - Understanding of your project structure
3. Tool Integration - Access to relevant development tools
4. Memory - Ability to remember previous interactions

Using Agents

Basic Usage

Invoke an agent using the @ prefix:

> @code-review Review the authentication module

Agent Options

Many agents accept options:

> @test-generator --coverage=90 --framework=jest

Chaining Agents

Combine agents for complex workflows:

> @refactor Then @test-generator Then @documentation

Available Agents

Development Agents

Agent	Description
@code-review	Comprehensive code review
@refactor	Code refactoring suggestions
@debug	Debugging assistance
@optimize	Performance optimization

Documentation Agents

Agent	Description
@docs	Generate documentation
@readme	Create/update README files
@api-docs	API documentation

Testing Agents

Agent	Description
@test-generator	Create test cases
@test-runner	Run and analyze tests
@coverage	Coverage analysis

Creating Custom Agents

You can create your own agents:

hljs yaml
# ~/.ccjk/agents/my-agent.yaml
name: my-custom-agent
description: A custom agent for my workflow
system_prompt: |
  You are a specialized assistant for...
tools:
  - file_read
  - file_write
  - bash

Best Practices

1. Be Specific - Give agents clear, detailed instructions
2. Provide Context - Share relevant background information
3. Review Output - Always review agent suggestions before applying
4. Iterate - Refine your requests based on results

Conclusion

AI agents transform how you interact with your codebase. Start with the built-in agents and gradually explore creating custom ones for your specific needs.