Copilot Usage Guide
GitHub Copilot extends beyond code generation to provide sophisticated assistance for documentation tasks. This guide covers effective strategies for leveraging Copilot's AI capabilities to enhance your documentation workflow.
Understanding Copilot for Documentation
How Copilot Works with Documentation
Copilot analyzes your existing content, project structure, and context to provide intelligent suggestions for:
- Content Structure: Generating outlines, headings, and organizational frameworks
- Technical Explanations: Creating clear, accurate descriptions of complex concepts
- Code Examples: Producing relevant code snippets with explanations
- API Documentation: Automatic generation of reference materials
- Style Consistency: Maintaining consistent tone and terminology across documents
Context Awareness
Copilot uses multiple sources of context:
- Current file content: Text already written in the document
- Project structure: Related files and their relationships
- File naming patterns: Understanding document purpose from names
- Frontmatter: DocFX metadata and categorization
- Code references: Related source code and examples
Effective Prompting Strategies
Writing Clear Prompts
The key to effective Copilot usage is providing clear, specific prompts that give the AI sufficient context.
Basic Prompting Patterns
Structure Prompts:
<!-- Generate a comprehensive outline for Azure deployment documentation -->
## Azure Deployment Guide
<!-- Copilot will suggest a structured outline -->
Content Expansion:
<!-- Explain the benefits of Infrastructure as Code -->
## Benefits of Infrastructure as Code
Infrastructure as Code (IaC) provides several key advantages:
<!-- Copilot will expand with detailed benefits -->
Technical Documentation:
<!-- Create API documentation for user management endpoint -->
## User Management API
### GET /api/users
<!-- Copilot will generate comprehensive API docs -->
Advanced Prompting Techniques
Context Building:
<!--
Project: Documentation site using DocFX
Audience: Developer teams new to Azure
Goal: Create step-by-step Azure App Service deployment guide
-->
## Deploying to Azure App Service
<!-- Copilot uses this context for targeted suggestions -->
Incremental Development:
## Step 1: Configure Authentication Provider
<!-- Let Copilot suggest the next logical steps -->
## Step 2: [Copilot suggestion]
## Step 3: [Copilot suggestion]
Content Generation Techniques
Structured Content Creation
Outline Generation
Start with a basic structure and let Copilot fill in details:
<!-- Generate a complete troubleshooting guide for DocFX builds -->
# DocFX Build Troubleshooting
## Common Build Errors
<!-- Copilot suggests specific error scenarios -->
## Configuration Issues
<!-- Copilot provides configuration problems -->
## Performance Optimization
<!-- Copilot suggests optimization techniques -->
Technical Explanations
Provide context and let Copilot create comprehensive explanations:
<!-- Explain Docker containerization for .NET applications -->
Docker containers provide isolated environments for applications.
For .NET applications, containerization offers:
<!-- Copilot expands with detailed benefits and implementation -->
Code Example Generation
Use descriptive comments to generate relevant examples:
<!-- PowerShell script to deploy DocFX site to Azure App Service -->
# Copilot will generate appropriate PowerShell commands
Content Enhancement Strategies
Improving Existing Content:
<!-- Original basic content -->
Azure App Service is a cloud platform.
<!-- Enhanced prompt for improvement -->
<!-- Expand this into a comprehensive introduction explaining Azure App Service features, benefits, and use cases for documentation hosting -->
Azure App Service is a cloud platform that provides...
<!-- Copilot enhances with detailed information -->
Adding Examples and Details:
## Configuration Best Practices
<!-- Add specific examples for each best practice -->
1. Use environment variables for configuration
<!-- Example: Show how to configure environment variables in Azure App Service -->
2. Implement proper error handling
<!-- Example: Demonstrate error handling patterns for DocFX builds -->
Copilot Chat Integration
Using Copilot Chat for Documentation
Copilot Chat provides conversational assistance for complex documentation tasks.
Chat Commands for Documentation
Content Planning:
@workspace /explain how to structure documentation for a new Azure project
Technical Review:
@workspace /review this API documentation for completeness and clarity
Style Improvement:
/improve this section for better readability and technical accuracy
Multi-turn Conversations
Example Documentation Planning Session:
User: I need to create documentation for deploying a .NET application to Azure
Copilot: I'll help you create comprehensive deployment documentation. Let me suggest a structure...
User: Focus on Azure App Service deployment with CI/CD
Copilot: For Azure App Service with CI/CD, here's a detailed outline...
User: Add troubleshooting section for common deployment issues
Copilot: I'll add a troubleshooting section covering these common issues...
Best Practices for AI-Assisted Writing
Quality Assurance
Fact-Checking AI Suggestions
Always verify Copilot suggestions for:
- Technical accuracy: Commands, code snippets, and procedures
- Current information: Azure service names and features
- Link validity: URLs and cross-references
- Code functionality: Test generated code examples
Maintaining Consistency
- Style guides: Ensure AI suggestions align with your style guide
- Terminology: Maintain consistent technical vocabulary
- Formatting: Apply consistent markdown formatting patterns
- Voice and tone: Keep documentation voice consistent across sections
Iterative Improvement
Refining Suggestions
Initial Prompt:
<!-- Create a section about Azure security best practices -->
Refined Prompt:
<!--
Create a comprehensive section about Azure security best practices for documentation sites, including:
- Access control and authentication
- SSL/TLS configuration
- Network security
- Monitoring and alerting
Target audience: DevOps engineers implementing Documentation as Code
-->
Collaborative Editing
Combine human expertise with AI assistance:
- AI generates structure: Let Copilot create the framework
- Human adds context: Provide project-specific details
- AI expands content: Generate comprehensive explanations
- Human reviews and refines: Ensure accuracy and completeness
Advanced Copilot Features
Code Integration
Generating Documentation from Code
<!-- Generate API documentation from this C# controller -->
```csharp
[ApiController]
[Route("api/[controller]")]
public class UsersController : ControllerBase
{
[HttpGet]
public async Task<ActionResult<IEnumerable<User>>> GetUsers()
{
// Implementation
}
}
```csharp
// Implementation
<!-- Copilot generates comprehensive API documentation -->
Explaining Complex Code
<!-- Explain this Azure Resource Manager template -->
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
// Template parameters
}
}
<!-- Detailed explanation of ARM template structure and purpose -->
Multi-language Support
Documentation Translation
<!-- Original English content -->
## Getting Started with Azure
<!-- Translate to Spanish -->
## Comenzando con Azure
<!-- Copilot provides accurate translations with technical terminology -->
Localization Assistance
<!-- Adapt this content for Japanese developers -->
## Azure DevOps Setup
<!-- Copilot considers cultural and technical differences -->
Workflow Integration
Documentation Lifecycle
Planning Phase
Use Copilot to:
- Generate documentation outlines
- Identify missing content areas
- Create user story-based documentation requirements
Writing Phase
Leverage Copilot for:
- Content expansion and detail generation
- Code example creation
- Cross-reference suggestions
Review Phase
Apply Copilot to:
- Content improvement and clarity enhancement
- Consistency checking across documents
- Gap analysis and completeness verification
Team Collaboration
Shared Prompting Strategies
Establish team standards for:
- Comment conventions: Consistent prompting patterns
- Context templates: Standardized context-building approaches
- Review processes: AI-assisted content review workflows
Knowledge Sharing
Document effective prompts and techniques:
<!-- Team Prompt Library -->
## Technical Procedure Documentation
<!-- Use this pattern for step-by-step technical procedures -->
## API Reference Generation
<!-- Use this pattern for comprehensive API documentation -->
## Troubleshooting Guides
<!-- Use this pattern for problem-solving documentation -->
Measuring Effectiveness
Quality Metrics
Track the impact of AI-assisted documentation:
- Writing speed: Time to produce documentation
- Content quality: Review feedback and error rates
- Completeness: Coverage of required topics
- Consistency: Adherence to style guides and standards
Continuous Improvement
Regularly assess and refine:
- Prompt effectiveness: Which patterns produce best results
- Content accuracy: AI suggestion accuracy rates
- Team adoption: Usage patterns and feedback
- Process optimization: Workflow efficiency improvements
Common Pitfalls and Solutions
Over-reliance on AI
Problem: Accepting all AI suggestions without review
Solution:
- Always verify technical accuracy
- Maintain human oversight for critical content
- Test code examples and procedures
Context Limitations
Problem: AI lacks project-specific context
Solution:
- Provide comprehensive context in prompts
- Reference related documentation and standards
- Include audience and purpose information
Inconsistent Output
Problem: Variable quality across different prompts
Solution:
- Develop standardized prompting patterns
- Create reusable context templates
- Establish team review processes
Next: Discover productivity features and shortcuts to maximize your documentation efficiency.