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Home
Guide
API Docs
LeafMove Official
  • 简体中文
  • English
GitHub
  • 📖 User Guide

    • User Guide
    • Getting Started
    • Configuration Guide
    • Deployment Guide
    • Content Creation Guide
    • Troubleshooting Guide
  • 🔧 API Docs

    • API Documentation
    • API Authentication Guide
    • API Usage Examples
    • Error Codes Reference

AutoBox Best Practices

Expert recommendations for using AI-assisted documentation development effectively.

🎯 Core Principles

1. Clarity Principle

  • Specific Requirements: Avoid vague expressions, provide detailed context
  • Clear Output Format: Specify expected output format and structure
  • Set Constraints: Define technical limitations and business constraints

2. Iterative Optimization Principle

  • Step-by-step Execution: Break complex tasks into smaller steps
  • Continuous Improvement: Continuously optimize prompts based on results
  • Version Management: Save effective prompt templates

3. Validation Principle

  • Human Review: Always review AI-generated content manually
  • Testing Validation: Verify correctness of generated code and documentation
  • Quality Control: Establish quality check processes

📝 Documentation Writing Best Practices

Prompt Design

✅ Recommended Approach

# Role Setting
You are a senior technical documentation engineer with 10 years of experience in documentation system development.

# Task Description
Please generate complete technical documentation for the following API endpoint:

## API Information
- Endpoint Name: User Management API
- Request Method: GET
- Request Path: /api/users
- Function Description: Retrieve system user list

## Output Requirements
1. Use Markdown format
2. Include complete parameter description tables
3. Provide example code in multiple programming languages
4. Add error handling explanations

Please generate professional, easy-to-understand API documentation.

❌ Avoid This Approach

Help me write API documentation

Content Organization

Structured Thinking

  1. Overview: Brief explanation of document purpose and scope
  2. Detailed Content: Organize specific content in logical order
  3. Examples: Provide practical, usable examples
  4. References: Related resources and further reading

User-Oriented

  • Organize content from user perspective
  • Provide clear operational steps
  • Include frequently asked questions
  • Add troubleshooting guides

🔧 Technical Implementation Best Practices

Code Generation

Prompt Template

Please generate a {{language}} script to implement the following functionality:

## Functional Requirements
{{detailed function description}}

## Technical Requirements
- Programming Language: {{language}}
- Framework/Libraries: {{related tech stack}}
- Performance Requirements: {{performance metrics}}

## Code Standards
- Add detailed comments
- Follow best practices
- Include error handling
- Provide usage examples

Please generate complete, runnable code.

Quality Assurance

  1. Code Review: Check logic and syntax of generated code
  2. Testing Validation: Run code to ensure functionality is correct
  3. Performance Optimization: Check for performance bottlenecks and optimization opportunities
  4. Security Check: Verify security and best practices

Documentation Automation

Template Design

# {{title}}

> Last Updated: {{updateTime}}
> Generation Tool: {{generator}}

## Overview

{{description}}

## Detailed Information

{{#each items}}
### {{name}}

**Description**: {{description}}

{{#if parameters}}
**Parameters**:
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
{{#each parameters}}
| `{{name}}` | {{type}} | {{required}} | {{description}} |
{{/each}}
{{/if}}

---
{{/each}}

🚀 Workflow Optimization

Development Process

  1. Requirements Analysis

    • Define documentation goals and audience
    • Analyze existing resources and constraints
    • Develop documentation plan
  2. AI-Assisted Generation

    • Use structured prompts
    • Generate content by modules
    • Iteratively optimize results
  3. Human Review

    • Check content accuracy
    • Verify format and structure
    • Improve details and examples
  4. Testing Validation

    • Verify code examples
    • Check link validity
    • Test user experience
  5. Publishing and Maintenance

    • Deploy to production environment
    • Collect user feedback
    • Continuously improve and optimize

Team Collaboration

Role Division

  • Product Manager: Define documentation requirements and priorities
  • Development Engineer: Provide technical details and code examples
  • Technical Writer: Optimize content structure and expression
  • QA Engineer: Verify documentation accuracy and completeness

Collaboration Tools

  • Version Control: Use Git to manage document versions
  • Collaboration Platform: Use GitHub/GitLab for collaboration
  • Communication Tools: Use Slack/Teams for real-time communication
  • Project Management: Use Jira/Trello to track progress

📊 Quality Assessment

Evaluation Metrics

Content Quality

  • Accuracy: Is information correct and up-to-date
  • Completeness: Does it cover all necessary information
  • Clarity: Is expression clear and easy to understand
  • Consistency: Are style and terminology unified

User Experience

  • Usability: Can users quickly find needed information
  • Readability: Is content easy to read and understand
  • Actionability: Are steps clear and executable
  • Maintainability: Is documentation easy to update and maintain

Improvement Methods

  1. User Feedback: Collect and analyze user feedback
  2. Data Analysis: Analyze user behavior and usage patterns
  3. Regular Review: Regularly review and update document content
  4. Continuous Optimization: Continuously improve processes based on feedback

🔗 Tools and Resources

Recommended Tools

  • AI Platforms: ChatGPT, Claude, GitHub Copilot
  • Documentation Tools: VuePress, GitBook, Notion
  • Collaboration Tools: GitHub, GitLab, Confluence
  • Design Tools: Figma, Sketch, Canva

Learning Resources

  • Technical Writing Guide
  • Markdown Syntax
  • API Documentation Best Practices
  • User Experience Design

📋 Checklist

Pre-Publication Checklist

  • [ ] Content accuracy verification
  • [ ] Format and style consistency
  • [ ] Link validity check
  • [ ] Code example testing
  • [ ] Spelling and grammar check
  • [ ] User experience testing
  • [ ] Mobile compatibility check
  • [ ] Search functionality testing

Regular Maintenance Checklist

  • [ ] Content timeliness updates
  • [ ] User feedback processing
  • [ ] Performance optimization check
  • [ ] Security review
  • [ ] Backup and recovery testing

By following these best practices, you can more effectively use AI-assisted programming to create high-quality documentation systems.

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