GitHub Copilot

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GitHub joins forces with OpenAI to launch an AI programming assistant

Collection time.
2025-07-18
GitHub CopilotGitHub Copilot

What is GitHub Copilot

GitHub Copilot is an AI programming assistant co-developed by GitHub and OpenAI that helps developers improve programming efficiency through intelligent code completion and generation. Copilot supports a wide range of mainstream programming languages, such as Python, JavaScript, and TypeScript, and integrates seamlessly with common development tools such as Visual Studio Code, Visual Studio, and JetBrains IDEs. Developers simply enter code into the IDE, and Copilot automatically provides code completion suggestions based on context, generating complete code snippets based on natural language descriptions. Code interpretation and optimization suggestions are available to help developers better understand and improve their code.

GitHub Copilot

Key Features of GitHub Copilot

  • Intelligent Completion: Auto-completion of code snippets based on context and support for multiple programming languages, such as Python, JavaScript, Java, C++, and so on.
  • Generate Code: By describing requirements in natural language, Copilot can generate complete code snippets or functions, reducing the time spent writing code manually.
  • Copilot Chat: Users can communicate with Copilot in natural language, describing their needs and then generating the appropriate code or providing a solution.
  • code interpretation: Help developers understand the functionality of code and explain what complex code segments do.
  • Optimization Recommendations: Provide code optimization suggestions to help developers improve code performance and readability.
  • Multi-IDE support: Supports major development tools such as Visual Studio Code, Visual Studio, JetBrains IDEs, etc., seamlessly integrating into the development process.
  • Code reference filtering: Help developers identify the source of code snippets and avoid potential copyright issues.
  • Open Source License Tips: Remind developers of open source licenses for code snippets to ensure compliant use.

GitHub Copilot official website address

Official website address: https://github.com/features/copilot

How to use GitHub Copilot

  • Access platforms: Visit the official website of GitHub Copilot.
  • Installation of extensions: Install the GitHub Copilot plugin in a supported IDE. For example, in VS Code, click the "Extensions" icon on the left, search for "GitHub Copilot" and install it.
  • Login account: Once the installation is complete, follow the prompts to log in to your GitHub account and authorize it.
  • subscription service: GitHub Copilot is a paid service and requires a subscription. It is free for students, teachers and open source project maintainers.
  • Common Functions
    • code completion: When writing code in the IDE, GitHub Copilot provides code-completion suggestions based on context. Press Tab key to accept the suggestion, or use the shortcut keys to switch between other candidate suggestions.
    • code generationGitHub Copilot generates code by describing requirements in comments. For example, write "Define a function that uses binary lookup" in the comments and press enter to generate code.
    • code interpretation: Check the code and enter /explain Or right click and select "Copilot > Explain this" to get the code explanation.
    • Generate Tests: Enter a description in the test file, such as "Write unit tests for the above binary lookup", and GitHub Copilot generates the test code.
    • refactor code: You can refactor the code by selecting the code block and right clicking on the "Rewrite as async/await" command in "Copilot Chat".
  • Tips for use
    • Write clear annotations: The more detailed the comments, the more accurate the code generated by GitHub Copilot.
    • provide a context: Ensuring that the code context is complete helps to generate more accurate recommendations.
    • Manually triggered generation: If the recommendation is not displayed automatically, press Ctrl+Enter / Cmd+Enter Manual Trigger.
    • Utilizing Copilot Chat: Solve more complex problems by communicating with Copilot through natural language.

Product Benefits of GitHub Copilot

  • Improve development efficiency: GitHub Copilot provides real-time code-completion suggestions based on context, and supports code generation of entire lines or even entire functions. Based on a large amount of open source code training, the generated code conforms to the specification and reduces the developer's time to write repetitive code.
  • Accelerated learning curve: For novice developers, Copilot can provide code samples and best practices to help them quickly acquire programming skills and shorten the learning cycle.
  • Multi-language support: Supports a variety of mainstream programming languages, such as Python, JavaScript, Java, C++, etc., to meet the needs of different developers.
  • seamless integration: Seamlessly integrates into many major development environments such as Visual Studio Code, Visual Studio, JetBrains, etc.
  • Personalized Tips: Provide personalized code hints and suggestions based on user feedback and project code base, adapting to different project coding styles and architectures.

Application Scenarios for GitHub Copilot

GitHub Copilot application scenarios include: rapid prototyping, developers can use Copilot to quickly generate code snippets and quickly build prototypes to save time and effort. Learning a new language or framework, by generating sample code and explanations, developers can quickly master the usage of a new language or framework. Solve complex problems, through the natural language description of the problem, Copilot can provide solutions or code implementation to help developers break through technical bottlenecks. Teaching support, providing students with code samples and explanations to help them better understand programming concepts and practices. Project practice, providing code generation and optimization suggestions in student projects to help students complete complex programming tasks.

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