GitHub Copilot in VS Code

The GitHub Copilot extension is an AI pair programmer tool that helps you write code faster and smarter. You can use the Copilot extension in Visual Studio Code to generate code, learn from the code it generates, and even configure your editor.

GitHub Copilot can provide assistance in a variety of scenarios.

Copilot in VS Code

Choose the GitHub Copilot interface in VS Code that best matches your use case:

• Code completions. Start typing in the editor and get code suggestions from Copilot.

• Inline Chat. Use chat conversation to apply code edits directly in the editor.

• Chat view. Have an ongoing chat conversation to ask questions about your code and iterate on coding ideas and concepts.

• Copilot Edits view. Start a multi-file editing session for directly applying large changes to your project.

• Throughout the user interface. Access purpose-specific Copilot features in VS Code to generate commit messages, get rename suggestions, and much more.

Getting started

1. Install the GitHub Copilot extension. This also installs the GitHub Copilot Chat extension.

   Install the GitHub Copilot extension

2. Follow the steps in the Copilot setup guide to configure GitHub Copilot in VS Code.

   Tip

   If you don't yet have a GitHub Copilot subscription, sign up for a GitHub Copilot free trial in your personal account.

3. Get going with these hands-on tutorials to learn how to use GitHub Copilot in VS Code.

   • GitHub Copilot Quickstart - discover the key features of GitHub Copilot in VS Code.

   • Copilot Chat Tutorial - get started with AI chat conversations.

Keyboard shortcuts

Use the following keyboard shortcuts to start a chat conversation with Copilot:

Check our Copilot cheat sheet for an overview of the key Copilot commands and shortcuts.

Use cases for GitHub Copilot in VS Code

Code completions in the editor

• Copilot suggests code as you type. Copilot analyzes the context in the file you're editing and related files, and offers suggestions from within the editor. For example, begin typing the name of a method and Copilot suggests the implementation, following your coding style.

  

Iterate on large changes across multiple files

• Start a AI-powered code editing session. Copilot Edits brings the conversational flow of Copilot Chat and fast feedback from Inline Chat together in one experience. Have an ongoing, multi-turn chat conversation on the side, while benefiting of inline code suggestions.

  

Answer coding questions

• Provide guidance and support for common coding tasks and challenges. Ask Copilot about syntax or general programming concepts without requiring to navigate documentation or search online forums. Copilot gives responses in natural language format or in code snippet format. For example, you can ask questions such as "what is recursion?" or "how to create a singleton in Java?".

  

• Improve code understanding by explaining selected code. Copilot generates natural language descriptions of the code's functionality and purpose. This can be useful if you want to understand the code's behavior or for non-technical stakeholders who need to understand how the code works.

  

• Provide guidance that is specific to your codebase. Copilot has the context of your workspace and can give step-by-step guidance and code samples that are tailored to your project. For example, "how to add a contacts page?" or "how do I read customer data from the database?".

  

Code refactoring and improvements

• Provide suggestions for implementing code refactorings. Copilot suggests refactorings using the context of your codebase. For example, ask Copilot to refactor a function to not use recursion, or to suggest an algorithm that can improve performance.

  

• Suggest potential improvements to selected code, such as improved handling of errors and edge cases, or changes to the logical flow to make the code more readable.

  

Fix issues

• Propose a fix for bugs in your code with the /fix command by suggesting code snippets and solutions based on the context of the error or issue. For example, if your code produces an error message or warning, Copilot Chat can suggest possible fixes based on the error message, the code's syntax, and the surrounding code. The changes might consist of changes to variables, control structures, or function calls that could resolve the issue.

  

• Propose a fix for failing tests (preview). When you run automated tests for your code, Copilot can suggest code fixes for tests that fail with the /fixTestFailure command.

  

• Suggest terminal command fixes. When a command fails to run in the terminal, Copilot displays a sparkle in the gutter that offers a Quick Fix to explain what happened.

  

Jumpstart your project

• Generate a new VS Code workspace for your choice of technologies with /new to get started quickly with a new project. Pick and choose your technology stack, preview the workspace files, and let Copilot scaffold the entire workspace for you.

  

• Scaffold a new Jupyter notebook by using natural language. Generate a new notebook that is preconfigured based on a description by using /newNotebook. For example, to scaffold a new notebook that loads, inspects, and visualizes a sample dataset, prompt Copilot with "@workspace /newNotebook download titanic dataset and display key information using MatPlotLib".

  

Generate unit test cases

• Configure your testing framework setup based on your codebase. For example, if you have a JavaScript and TypeScript project, Copilot will suggest suitable testing frameworks and steps to configure them for your workspace.

  

• Write unit test cases for your testing framework based on the code open in the editor or the code snippet you highlight in the editor. Copilot identifies your testing framework and coding style and generates matching code snippets.

  

• Identify and write test cases for edge cases and boundary conditions that might be difficult to identify manually. For instance, Copilot can suggest test cases for error handling, null values, or unexpected input types.

• Suggest assertions that ensure the function is working correctly, based on the code's context and semantics. For example, generate assertions to ensure that function input parameters are valid.

Generate code documentation

• Generate code documentation for multiple languages for the code open in the editor or the code snippet you highlight in the editor. Use /doc or a Copilot smart action to help you generate meaningful code documentation.

  

Productivity improvements

• AI-generated commit messages and PR descriptions based on the code changes in a commit or the changes in a pull request. Use the sparkle button in the Source Control view or GitHub PR extension to generate a title and description that summarizes your changes.

  

• Ask help in the Command Palette to help you find the relevant command in VS Code. You can describe the functionality and Copilot can help identify the matching functionality. For example, type "code preview in scrollbar" in the Command Palette, and Copilot can identify that you're referring to the editor.minimap settings.

  

• AI-generated rename suggestions for symbols in your source code. When you rename a symbol in your code, Copilot suggests a new name based on the context of the symbol and the codebase.

  

• Semantic search results (preview). The Search view lists exact text matches across your files, in addition to matches that are semantically relevant based on your search text.

  

• Use terminal inline chat to ask questions about the terminal or how to use specific shell commands. For example, you can ask questions such as "list the top 5 largest files in the src directory", or "how to enable shell integration".

  

Next steps

• Get started with the Copilot in VS Code Quickstart
• Get started with editing across multiple files with Copilot Edits
• Get a quick overview of the Copilot features in VS Code

Additional resources

You can read more about Copilot and how to use it in VS Code in the GitHub Copilot documentation.

Or check out the VS Code Copilot Series on YouTube, where you can find more introductory content and programming-specific videos for using Copilot with Python, C#, Java, PowerShell, C++, and more.