Apr 29, 2022 · One of these features explains the code you have in plain language. Let's show you how to do that. Step 1. Install Copilot Labs. Make sure you have GitHub Copilot installed*. If you have access to Copilot, you'll also be able download and install GitHub Copilot Labs. Step 2. Choose code to explain.

In this guide, you’ll learn how to use Copilot Chat in GitHub to understand a repository’s purpose, examine files, and dive into specific lines of code. By following these steps, you’ll gain insights into any project faster—making onboarding, code review, …

Jan 8, 2025 · GitHub Copilot is a generative AI tool that functions as a coding assistant to help you write code faster and so much more. One of the main advantages of Copilot is it draws context from your coding environment, open tabs, and your GitHub projects (including your pull requests, issues, discussions, and codebase).

Mar 17, 2025 · GitHub Copilot Chat can help you with code explanations, building out full minimum viable products (MVPs), writing tests, fixing errors in your terminals, and much more. ... As soon as you do, Copilot provides a list of possible commands that you can use. For example, you could use the /explain command to have Copilot provide a full explanation ...

GitHub Copilot is an AI coding assistant that helps you write code faster and with less effort, allowing you to focus more energy on problem solving and collaboration. Before you start working with Copilot, it's important to understand when you should and shouldn't use it.

Use GitHub Copilot to get code suggestions in your editor. Use Copilot Chat in your editor to give you code suggestions, explain code, generate unit tests, and suggest code fixes. What is GitHub Copilot? You can use GitHub Copilot to get autocomplete-style suggestions from an AI pair programmer as you code.

Mar 25, 2024 · GitHub Copilot is a powerful AI assistant. Learn practical strategies to get the most out of GitHub Copilot to generate the most relevant and useful code suggestions in your editor.

Chat with GitHub Copilot. Use natural language to chat with GitHub Copilot and get help with coding tasks. For example, ask Copilot to explain a block of code or a programming concept. Get more information about using Copilot Chat.

GitHub Copilot is your AI pair programmer tool in Visual Studio Code. Get code suggestions as you type or use Inline Chat in the editor to write code faster. Add new functionality or resolve bugs across your project with Copilot Edits, or use natural language in chat to explore your codebase.

Jun 30, 2022 · GitHub Copilot can help you understand your code by explaining it in plain English, long form English, explaining the syntax, and showing examples of the cod...

Apr 4, 2023 · In such cases, you can use GitHub Copilot to get a code explanation. Essentially, you’ll need an existing GitHub Copilot subscription to use this feature. If you don’t have one, you can sign up for the waitlist.

Feb 5, 2025 · GitHub Copilot is an AI-powered code assistant by GitHub and OpenAI. It provides real-time code suggestions as you type, helping you write code faster in Visual Studio Code. Supporting multiple programming languages like Python and JavaScript, it streamlines development and boosts productivity.

Mar 3, 2025 · Learn how to set up GitHub Copilot > What is GitHub Copilot? Powered by generative AI and LLM models, GitHub Copilot is an AI pair programmer that helps you write code faster. It’s designed to help with programming tasks and acts as your assistant while working in your editor and on github.com.

Learn how to optimize your use of GitHub Copilot for various use cases. Leverage Copilot artificial intelligence to help you refactor your code quickly and effectively. GitHub Copilot Chat can help you move a project to a different language.

GitHub Copilot has pushed AI-assisted programming well beyond code generation and code chat, with new capabilities continuing to arrive at a rapid pace. In 2014, Microsoft Research released an...

Learn how to get started with the GitHub Copilot extension to get AI-powered code suggestions in the editor, use chat conversations to refactor your code, and fix code errors with smart actions.

Nov 22, 2024 · In this tutorial, we’ll explore how Copilot helps you understand code, suggest improvements, explain code, and answer specific questions about the code under review. You’ll learn two main ways to use Copilot: Copilot on GitHub for reviewing pull requests (currently in …

Apr 1, 2025 · GitHub Copilot is your AI Pair Programmer that offers autocomplete code suggestions. It can receive suggestions as you start writing code or by providing a natural language comment that describes what you want the code to do for your work. The context in the file is analyzed, and the text editor offers suggestions.

Jan 15, 2025 · Use Copilot to explain code: When you encounter unclear or cryptic code, GitHub Copilot can generate explanations to demystify its purpose. Simply highlight the code block and ask Copilot to explain it.

Apr 3, 2025 · AI is transforming industries, and software development is no exception. From automated code generation to intelligent debugging, AI is reshaping how developers write and maintain code. Among the many AI-driven tools available today, GitHub Copilot stands out as one of the most discussed and widely adopted solutions.

GitHub Copilot offers a suite of features. Copilot also offers a suite of features for administrators. Autocomplete-style suggestions from Copilot in supported IDEs (Visual Studio Code, Visual Studio, JetBrains IDEs, Azure Data Studio, Xcode, Vim/Neovim, and Eclipse).

In this tutorial, we will walk you through essential GitHub Copilot features while building a simple rock-paper-scissors game. Copilot features like slash co...

I want to explain why we made the switch, how it impacts scalability, and any trade-offs we faced along the way. Propose a developer-focused blog post centered on the new caching mechanism we built in PR #64. Highlight key aspects of the implementation, show code snippets, and explain the performance improvements. Sharing best practices