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

Prerequisites

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.