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GitHub Copilot — User Guide
Industry-standard AI pair programmer for code completion and generation.
Strengths
- Deeply integrated with mainstream IDEs such as VS Code and JetBrains, no need to switch tools
- Real-time code completion, understand the context, complete the entire function instead of a single line
- Copilot Chat can chat directly in the editor, explain the code and generate tests
- Supports GitHub repository-level contextual understanding
- The enterprise version supports private code base training to protect code privacy
Best for
- Daily coding acceleration: automatic completion of functions, classes, and comments
- Quickly generate sample code (CRUD, API interface, test cases)
- Code interpretation: understanding other people’s code or legacy code
- Unit test generation: automatically generate test cases for functions
- Code Refactoring: Refactor and explain changes directly within the IDE
Basic usage in VS Code
The most powerful thing about Copilot is its seamless integration within the IDE. Here is the core usage.
Scenario
Annotation-driven code generation
Prompt example
In VS Code, write a comment: # Function: parse the date string entered by the user # Supported formats: YYYY-MM-DD, DD/MM/YYYY, MM-DD-YYYY # Return: datetime object, return None if parsing fails # Contains error handling and logging def parse_date(date_str: str):
Output / what to expect
Copilot will automatically complete the complete function:
- Use dateutil.parser or manually parse multiple formats
- Contains try/except error handling
- Add logging logging
- Return type annotation is correct
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Tips
The more detailed the comments, the more accurate the generated code will be. Annotations in Chinese are also perfectly fine.
Scenario
Explain complex code using Copilot Chat
Prompt example
Select a piece of complex code and enter it in Copilot Chat: /explain Or: What does this code do? Are there any potential performance issues?
Output / what to expect
Copilot Chat will:
- Explain the code logic in natural language (line by line or as a whole)
- Point out potential problems (such as: O(n²) complexity, memory leak risk)
- Suggest optimization solutions
Tips
You can also quickly explain it by right-clicking on the code → "Copilot" → "Explain This".