GitHub Copilot is an AI-powered coding partner that helps developers write (brainstorm, test, explain, fix, document and more) better code faster. It offers two main components:

1. Code Completion: Suggests whole lines and blocks of code or comments as you type.
2. GitHub Copilot Chat: An AI powered chat interface available both in your IDE and in the browser on github.com for software development-related questions and tasks

To get started, ensure you have:

• A GitHub account with Copilot Business subscription
• Visual Studio Code, Visual Studio, JetBrains IDEs, or Neovim installed (no Copilot chat in Neovim)
• GitHub Copilot extension installed in your preferred IDE

Copilot Chat is available in two environments:

1. In your IDE for direct coding assistance - Chat, Code completion.
2. On GitHub.com for repository, pull request, issues, discussions.
   • This can also be accomplished in the IDE with @github skills

1. Install the GitHub Copilot Chat extension for your IDE
2. Sign in with your GitHub account

1. Multi-file Context: Copilot Chat can understand and reference multiple files in your workspace
2. Copilot Edits: Request changes across multiple files with natural language
3. Code Explanations: Get detailed explanations of any code selection
4. Generate Tests: Have Copilot generate unit tests for your code/applications
5. Look for Vulnerabilities: Have Copilot assess highlighted blocks of code to see if there are any vulnerabilities
6. Generate Documentation: Have Copilot generate documentation from code
7. Many, many more!

1. Write your first prompt with GH Copilot Chat - Detailed step-by-step here
2. Prompt Engineering docs - Improve your results
3. Visual Studio Code has a lot of additional features available with GitHub Copilot - Strongly recommended - learn about shortcuts, agents, edits and much more here
4. Multi-file edits (Copilot Edits with VSCode)

1. Inline Suggestions: Real-time code completions as you type
2. Alternative Suggestions: View multiple options
3. Context-Aware: Understands your code from open files and coding style

1. Get your first completion
2. Visual Studio Code guided examples with tips and tricks

1. Repository-wide Context: Chat about code across your entire repository
2. Pull Request Integration: Get explanations and suggestions directly in PRs
3. Issues and Discussion Support: Use Copilot to generates summaries from issues and discussions
4. Documentation Navigation: Get help finding relevant documentation

1. Pull Request Summary

   Prompt: "Explain the changes in this pull request"
   

2. Issue Analysis

   Prompt: "Suggest potential solutions for this issue"
   

3. Repository Exploration

   Prompt: "Help me find where this feature is implemented"
   

For hands-on practice and structured learning, follow the comprehensive Copilot Workshop: GitHub Copilot Workshop Repository

This workshop provides:

• Step-by-step exercises
• Real-world coding scenarios
• Best practices for working with Copilot
• Advanced usage patterns and tips

*some content may be out of date

1. Code Explanation

   Prompt: "Explain how this function works" or /explain
   Action: Highlight any code in the editor and ask Copilot to explain it
   

2. Code Improvement

   Prompt: "How can I make this code more efficient?"
   Action: Highlight any code in the editor and ask Copilot to explain it
   

3. Documentation Generation

   Prompt: "Generate documentation for this code"
   Action: Select code and request documentation in your preferred format
   

1. Function Creation

   Action: Type a function comment describing what you want
   Example: "// Function to validate email address using regex"
   

2. Test Generation

   Action: Create a test unit and describe what you want to test
   Example: "// Unit tests for email validation function"
   

3. Error Handling

   Action: Add error handling to existing code
   Example: Type "try {" and let Copilot suggest error handling
   

1. Write Clear Comments: Better comments lead to better suggestions
2. Use Natural Language: Be descriptive in your prompts
3. Review Suggestions: Always verify Copilot's code suggestions
4. Iterate: If the first suggestion isn't perfect, try rephrasing or providing more context

Remember: GitHub Copilot is a powerful tool, but it's important to review and understand the code it generates. Always test the suggestions and ensure they meet your project's requirements and standards.