GitHub Copilot - Advanced Features
Overview
Estimated time: 20–30 minutes
Master advanced GitHub Copilot features including Copilot Chat, CLI integration, enterprise capabilities, and sophisticated coding workflows that go beyond basic autocomplete.
Learning Objectives
- Use GitHub Copilot Chat for interactive coding assistance
- Leverage Copilot CLI for command-line productivity
- Understand enterprise features and administration
- Implement advanced prompting strategies for complex tasks
Prerequisites
- Basic GitHub Copilot usage (see introduction)
- Familiarity with VS Code or preferred IDE
- Understanding of software development workflows
GitHub Copilot Chat
Activating Chat
VS Code Shortcuts
- Ctrl + I - Inline chat in editor
- Ctrl + Shift + I - Quick chat panel
- Ctrl + Alt + I - Chat sidebar
Chat Commands
/explain
- Explain selected code/fix
- Suggest fixes for issues/tests
- Generate unit tests/doc
- Add documentation
Advanced Chat Workflows
// Multi-step refactoring conversation
User: /explain this function and suggest improvements
Copilot: [Explains the function and suggests optimizations]
User: Apply the performance optimization you mentioned
Copilot: [Provides refactored code with explanations]
User: Now add comprehensive error handling
Copilot: [Adds try-catch blocks and validation]
GitHub Copilot CLI
Installation & Setup
# Install GitHub CLI extension
gh extension install github/gh-copilot
# Authenticate with GitHub
gh auth login
# Verify installation
gh copilot --version
CLI Commands
Command Explanation
# Explain complex commands
gh copilot explain "find . -name '*.js' -exec grep -l 'useState' {} \;"
# Get command suggestions
gh copilot suggest "compress all images in current directory"
Git Operations
# Git workflow assistance
gh copilot suggest "create a new branch and switch to it"
# Complex git operations
gh copilot explain "git rebase -i HEAD~3"
Enterprise Features
Copilot Business & Enterprise
Enterprise Benefits:
- Organization-wide license management
- Policy controls and content filtering
- Audit logs and usage analytics
- Enhanced security and compliance
Content Exclusion
// .gitignore patterns for Copilot
{
"github.copilot.advanced": {
"inlineSuggestCount": 3,
"listCount": 10
},
"github.copilot.enable": {
"*": true,
"yaml": false,
"plaintext": false
}
}
Advanced Prompting Strategies
Context-Rich Prompts
// ✅ Provide comprehensive context
/**
* E-commerce product search API endpoint
* Requirements:
* - Full-text search across name, description, tags
* - Filter by category, price range, availability
* - Sort by relevance, price, rating, date
* - Pagination with cursor-based approach
* - Rate limiting: 100 requests/minute per API key
* - Response format: JSON with products array and pagination metadata
*/
async function searchProducts(searchParams) {
// Copilot generates comprehensive implementation
}
Multi-File Context
# Reference related files for better context
# This service integrates with UserRepository (./repositories/user_repo.py)
# and EmailService (./services/email_service.py)
# Follow the established error handling patterns from BaseService
class UserRegistrationService:
def __init__(self, user_repo, email_service):
# Implementation follows established patterns
Performance Optimization
Suggestion Quality
Improve Suggestions
- Use descriptive variable names
- Add comprehensive comments
- Maintain consistent code style
- Provide examples in comments
Context Management
- Keep related files open
- Use meaningful file names
- Structure projects clearly
- Reference existing patterns
Workspace Configuration
// .vscode/settings.json
{
"github.copilot.enable": {
"*": true,
"yaml": true,
"plaintext": false
},
"github.copilot.advanced": {
"secret_key": "off",
"length": "medium"
},
"github.copilot.editor.enableAutoCompletions": true
}
Integration Patterns
Code Review Workflow
1. Write initial implementation with Copilot
2. Use /explain to understand generated code
3. Use /doc to add comprehensive documentation
4. Use /tests to generate test cases
5. Refine based on Copilot suggestions
6. Submit for human review
Collaborative Development
Team Considerations:
- Establish coding standards that work well with Copilot
- Review AI-generated code thoroughly
- Share effective prompting patterns within the team
- Monitor code quality and maintain human oversight
Common Pitfalls
❌ Avoid These Mistakes
- Accepting suggestions without understanding
- Not testing AI-generated code
- Over-relying on suggestions for architecture
- Ignoring security implications
✅ Best Practices
- Always review and test suggestions
- Use Chat for explanations
- Combine AI assistance with human judgment
- Maintain coding standards
Troubleshooting
Common Issues
Copilot not providing suggestions
- Check internet connection
- Verify GitHub Copilot subscription status
- Restart VS Code or IDE
- Check file type is supported
- Ensure Copilot extension is enabled
Poor suggestion quality
- Add more descriptive comments
- Use better variable and function names
- Provide more context in surrounding code
- Keep related files open for context
Checks for Understanding
Question 1: What's the difference between inline chat and the chat sidebar?
Answer: Inline chat (Ctrl + I) appears directly in the editor at your cursor position for quick context-specific questions. The chat sidebar (Ctrl + Alt + I) is a persistent panel for longer conversations and broader project discussions.
Question 2: When should you use GitHub Copilot CLI?
Answer: Use Copilot CLI when you need help with command-line operations, want explanations of complex shell commands, or need suggestions for terminal-based workflows. It's particularly useful for git operations, system administration, and DevOps tasks.
Exercises
Exercise 1: Use Copilot Chat to refactor a complex function in your codebase. Start with /explain
, then ask for optimization suggestions, and finally request comprehensive tests.
Exercise 2: Set up GitHub Copilot CLI and use it to get explanations for 5 different git commands you're unfamiliar with.