Context in github copilot

Context passing for your agent

If you are using Copilot Chat in GitHub, provide specific repositories, files, symbols, and more as context. See Asking GitHub Copilot questions in GitHub. If you are using Copilot Chat in your . Use this cheat sheet to quickly reference the most common commands and options for using GitHub Copilot Chat. This version of this article is for Copilot on the GitHub website. For other versions of this article, click the tabs above. You can enhance your experience of Copilot Chat with a variety of commands and options. Finding the right command or option for the task you are working on can help you achieve your goals more efficiently. This cheat sheet provides a quick reference to the most common commands and options for using Copilot Chat. For information about how to get started with Copilot Chat in the GitHub website, see Asking GitHub Copilot questions in GitHub. Use slash commands to avoid writing complex prompts for common scenarios. Available slash commands may vary, depending on your environment and the context of your chat. Below is a list of some of the most common slash commands for using Copilot Chat.

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GitHub for Beginners: Essential features of GitHub Copilot

GitHub Copilot can use your code and custom instructions to code the way you prefer. Your AI-powered teammate. From debugging to deployment, GitHub Copilot generates what you . Welcome back to our second GitHub for Beginners series, where we are diving into the world of GitHub Copilot. In our previous episode , we introduced you to GitHub Copilot and gave you some guidance on getting started. GitHub Copilot is an AI pair programmer that helps you write code. It is a generative AI , which means that it is capable of creating new content based on what it has learned. This also means that if you are following along through any demos, Copilot might offer different solutions in response to prompts. This is expected. To use Copilot, you must have a GitHub account and a Copilot license. You can get started with a free license by visiting this link. For more introductory details, check out our first blog in the series.

GitHub Copilot looks at the current open files in your editor to analyze the context, create a prompt that gets sent to the server, and return an appropriate suggestion. Have a few . I hope these tips will help you become a more efficient and productive user of the AI assistant. Since GitHub Copilot continues to evolve in the IDE, CLI, and across GitHub. GitHub Copilot is developing rapidly, and new features are being added all the time. This will give you a great overview of how much the AI assistant can currently do. But beyond interacting with GitHub Copilot, how do you help it give you better answers? Well, the answer to that needs a bit more context. If you understand Large Language Models LLMs , you will know that they are designed to make predictions based on the context provided. This means, the more contextually rich our input or prompt is, the better the prediction or output will be. As such, learning to provide as much context as possible is key when interacting with GitHub Copilot, especially with the code completion feature. It then uses that context to provide code suggestions.

Get better answers by setting the context for GitHub Copilot Chat in Visual Studio

Finally, this context is used by GitHub Copilot to answer your question. If the context is too large, only the most relevant parts of the context are used. The response is marked up with . GitHub Copilot Extensions can access certain contextual information using context passing. It happens automatically when you interact with an extension, but requires your explicit authorization through GitHub App permissions for use in any organization-owned repositories. Different clients, such as GitHub Copilot Chat in Visual Studio Code, Visual Studio, and GitHub, provide context through different reference types. For example, IDEs send information such as file contents and selections, while Copilot Chat in GitHub includes the current URL for the page being viewed. Before you configure your Copilot agent to communicate with GitHub, you should understand how your Copilot agent communicates with the Copilot platform. See Configuring your Copilot agent to communicate with the Copilot platform. Depending on the client, different types of context are provided. The following table shows the reference types that are passed to GitHub Copilot Extensions based on the client or IDE you are using. To enable context passing through an IDE client, the Copilot Editor Context permission must be configured for your agent.

Using GitHub Copilot in your IDE: Tips, tricks, and best practices

Allows you to use GitHub-specific Copilot skills. See Asking GitHub Copilot questions in your IDE. @project: Has context about the code in your project. Use @project when you want Copilot to . .

• 📋Context passing for your agent
• 📋Get better answers by setting the context for GitHub Copilot Chat in Visual Studio
• 📋Using GitHub Copilot in your IDE: Tips, tricks, and best practices

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Weitere Informationen Youtube to context: Uses yt-dlp to download subtitles from YouTube and connects it to via Model Context Protocol. Try it by asking Claude, "Summarize the YouTube video ". Requires yt-dlp to be .

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