Table of Contents
Understanding Copilot Interactions
GitHub Copilot provides multiple ways to interact and get code suggestions. Understanding these interaction methods is essential for effective use and exam preparation.
1. Inline Code Suggestions
The primary way to interact with GitHub Copilot is through inline code suggestions that appear as you type:
How It Works
- Start typing code or a comment describing what you want
- Copilot analyzes your context and suggests code
- Suggestions appear in gray text (ghost text)
- Press
Tabto accept, or continue typing to reject
Example Interaction
// Write a function to calculate factorial
function calculateFactorial(n) {
// Copilot suggests: if (n === 0 || n === 1) return 1;
// return n * calculateFactorial(n - 1);
}
2. Copilot Chat
Copilot Chat provides a conversational interface for deeper code understanding and assistance:
Use Cases
- Code Explanation: Ask "Explain this function" or "What does this code do?"
- Debugging: Describe errors and ask for solutions
- Refactoring: Request code improvements or optimizations
- Learning: Ask about best practices or patterns
- Documentation: Generate comments or documentation
Accessing Copilot Chat
- Open the Copilot Chat panel in your IDE
- Type your question or request
- Copilot provides detailed responses with code examples
- You can ask follow-up questions for clarification
3. Inline Chat
Inline Chat allows you to interact with Copilot directly in your code editor:
- Select code and right-click to open inline chat
- Ask questions about selected code
- Request modifications or improvements
- Get context-aware suggestions
- Apply changes directly to your code
4. Keyboard Shortcuts
Efficient interaction with Copilot requires knowing key shortcuts:
| Action | Windows/Linux | macOS |
|---|---|---|
| Accept suggestion | Tab |
Tab |
| Reject suggestion | Esc |
Esc |
| Show next suggestion | Alt + ] |
Option + ] |
| Show previous suggestion | Alt + [ |
Option + [ |
| Open Copilot Chat | Ctrl + Shift + I |
Cmd + Shift + I |
5. Context-Aware Suggestions
Copilot analyzes multiple context sources to provide relevant suggestions:
- Current File: Code in the file you're editing
- Open Files: Other files open in your editor
- Project Structure: Files and folders in your project
- Comments: Natural language descriptions in comments
- Function Names: Naming conventions and patterns
- Imports: Libraries and dependencies being used
Best Practices for Interaction
Writing Effective Prompts
- Be specific about what you want
- Include context in comments
- Use clear function and variable names
- Describe the desired outcome
Reviewing Suggestions
- Always review suggestions before accepting
- Understand what the code does
- Check for security vulnerabilities
- Ensure it follows your coding standards
- Test the code after acceptance
Iterative Refinement
- Accept partial suggestions and refine
- Use follow-up prompts to improve code
- Combine multiple suggestions
- Modify suggestions to fit your needs
Common Interaction Patterns
Pattern 1: Function Generation
Write a comment describing the function → Copilot suggests implementation → Review and accept/modify
Pattern 2: Code Completion
Start typing code → Copilot completes the line → Accept if correct, continue typing if not
Pattern 3: Code Explanation
Select code → Open Copilot Chat → Ask "Explain this" → Get detailed explanation
Pattern 4: Refactoring
Select code → Ask Copilot Chat to refactor → Review changes → Apply
Exam Key Points
- Inline suggestions appear as gray ghost text
- Press Tab to accept, Esc to reject suggestions
- Copilot Chat is for deep code understanding and debugging
- Inline Chat allows context-aware interactions in the editor
- Copilot analyzes multiple context sources (file, project, comments)
- Always review suggestions before accepting
- Use clear, specific prompts for better suggestions
- Keyboard shortcuts: Alt/Option + ]/[ for cycling suggestions
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