Your full VS Code workspace can be too large to pass entirely to GitHub Copilot for responding to your chat prompt. Instead, @workspace extracts the most relevant information from the different context sources to ground Copilot's answer.

Jan 10, 2024 · Github Copilot team introduced the new Copilot feature that should dramatically change the development experience. They introduced agents. At the moment there are 3 main agents available:...

Use slash commands to avoid writing complex prompts for common scenarios. To use a slash command, type / in the chat prompt box, followed by the command name. Available slash commands may vary, depending on your environment and the context of your chat.

You can use Copilot with the GitHub CLI to get suggestions and explanations for the command line.

This Copilot Workspace VS Code extension allows you to use GitHub Copilot Workspace from the comfort of VS Code. Continue an existing session and edit and debug the proposed changes before creating a PR.

To give Copilot the correct context, try some of these strategies: Highlight relevant lines of code. Use chat variables like #selection, #file, #editor, #codebase, or #git. Use the @workspace chat participant. You can ask Copilot to write code for you. For example:

Mar 17, 2025 · Copilot Edits is one of the most recent and exciting features added to GitHub Copilot. With Copilot Edits, you can start a code session quickly to iterate on code changes using natural language. It allows you to edit multiple files at the same time, and combines the conversation flow of Copilot Chat with the fast feedback of inline chat ...

Action Description ⌃⌘I (Windows, Linux Ctrl+Alt+I): Open the Chat view.: ⇧⌥⌘L (Windows, Linux Ctrl+Shift+Alt+L): Open Quick Chat and ask a quick question to Copilot.: ⌘I (Windows, Linux Ctrl+I): Start Inline Chat to send a chat request to Copilot directly from the editor. Use natural language or use / commands to give instructions to Copilot.: ⌘. (Windows, Linux Ctrl+.

Use @workspace when you want Copilot to consider the structure of your project, how different parts of your code interact, or design patterns in your project. @workspace can find and attach relevant files to the request context automatically.

Simple, clear statements of intent like "Switch to use Python numpy" or "Add more unit tests for the server code" can get you a long way. You can easily add more clarification and iterate. TIP: A few words clarifications can make a huge difference! Just a few words of clarification can make a big difference in the quality of the results you get.

Automatically apply large code changes across multiple files in your workspace. Implement high-level requirements by starting an agentic coding flow. Copilot autonomously invokes multiple tools to plan and implement the code changes and tasks that are needed.

Oct 10, 2024 · You can now use GitHub Copilot Chat to refer to your entire C++ project using the @workspace command. This feature allows you to ask questions about your project, and GitHub Copilot will provide you with detailed responses.

Jul 24, 2023 · In July’s update GitHub Copilot introduced a new command: /createWorkspace. You can type in Copilot Chat /createWorkspace followed by a prompt which describes what project you’re going to create. To begin with, you will get a proposed folder structure based on your needs, with also some comments and description of what has been generated.

Aug 29, 2024 · Copilot Workspace is an AI-driven development environment powered by GitHub Copilot. It combines the capabilities of Copilot, an AI coding assistant, with a collaborative workspace where multiple developers can work together in real time.

Nov 18, 2024 · Enter GitHub Copilot Workspace, a streamlined solution that uses AI agents to brainstorm, generate code, create pull requests, and even obtain terminal commands for building, testing, and...

Copilot Workspace is an AI-native dev environment that allows you to collaborate with Copilot on repo-wide coding tasks, using natural language and integrated cloud compute. You can learn more about what Copilot Workspace is from its project page.

Jan 14, 2025 · GitHub CW is a “task-centric” development environment that enables you to define tasks for a repository using natural language and collaborate with AI to complete them. This guide will walk you through how to get started with Copilot Workspace by utilizing various entry points.

You can use @workspace when you want Copilot to consider the structure of your project and how ... } } promptUser(); This Node.js code replicates the functionality of the COBOL main.cob file, providing a simple command-line interface for viewing the balance, crediting the account, debiting the account, and exiting the application ...

In this manual, we will guide you through the concepts and features of Copilot Workspace, and help you get started with using it effectively. A fully-implemented workspace session. Everything in Copilot Workspace begins with a “task”, which is a natural language description of intent. The task always has a context: a GitHub repository.

Oct 10, 2024 · Visual Studio 2022 17.11 now allows passing the entire workspace or specific classes and functions as context for GitHub Copilot Chat. By using the @workspace command, you can refer to your entire C++ project and ask specific questions for tailored responses.

Use Copilot on the command line - See Using GitHub Copilot in the command line. GitHub Copilot provides coding suggestions as you type in your editor. You can also ask Copilot coding-related questions, such as how best to code something, how to fix …

Whether you’re addressing an Issue, iterating on a PR, or bootstrapping a project, Copilot Workspace helps you jumpstart every task by describing what you want in natural language. The plan agent captures your intent, proposes a plan of action, and uses that plan to …

6 days ago · Alternatively, run the MCP: Add Server command from the Command Palette and provide the server information to add a new MCP server configuration. Choose Workspace Settings to create the .vscode/mcp.json file in your workspace if it doesn't already exist.