Learn how to use GitHub Copilot for terminal command suggestions, including setup in Windows Terminal and VS Code, custom keybindings for commit messages, usage tracking with community tools, and creative CLI projects.
This guide covers everything you need to know about using GitHub Copilot on the command line, including terminal command suggestions, setup in Windows Terminal and VS Code, real-world usage tips from the community, and advanced features like custom keybindings and usage tracking. It is intended for developers who want to integrate Copilot into their terminal workflow to get command suggestions, generate commit messages, and monitor their Copilot usage without leaving the CLI.

Before you can use GitHub Copilot for terminal command suggestions, you must meet the following prerequisites drawn from the official documentation and community sources.
You need a personal GitHub account with access to a Copilot plan. According to the official documentation, you can start with Copilot Free to explore limited features without subscribing to a plan, or upgrade to Copilot Pro, Copilot Pro+, or Copilot Max to unlock more features, models, and request limits. Important: Starting April 22, 2026, new self-serve sign-ups for Copilot Business for organizations on GitHub Free and GitHub Team plans are temporarily paused. For full details on plans, see Plans for GitHub Copilot.
If you want to use Copilot in Windows Terminal, you must have Windows Terminal Canary installed. The official documentation states that Terminal Chat is only available in Windows Terminal Canary. After installation, you open Settings from the dropdown menu, go to the Terminal Chat (Experimental) setting, and under Service Providers, select GitHub Copilot and Authenticate via GitHub to sign in.
For using Copilot in VS Code, you need the latest version of Visual Studio Code and the GitHub Copilot Chat extension. You must sign in to GitHub in Visual Studio Code. If you experience authentication issues, see Troubleshooting common issues with GitHub Copilot.
For Visual Studio, you need version 2022 17.8 or later of Visual Studio for Windows, the GitHub Copilot extension for Visual Studio, and your GitHub account added to Visual Studio. See Install Visual Studio and Add your GitHub accounts to your Visual Studio keychain in the Microsoft documentation.
For JetBrains IDEs, you need a compatible JetBrains IDE (a full list is available at Asking GitHub Copilot questions in your IDE), the latest version of the GitHub Copilot extension from the JetBrains Marketplace, and you must sign in to GitHub in your JetBrains IDE. See Installing the GitHub Copilot extension in your environment.
For Xcode on macOS, you need the latest version of the GitHub Copilot extension and you must sign in to GitHub in Xcode. If you experience authentication issues, see Troubleshooting common issues with GitHub Copilot.
If you have access to GitHub Copilot via your organization, you may not be able to use GitHub Copilot in Windows Terminal if your organization owner has disabled GitHub Copilot CLI. Similarly, you cannot use GitHub Copilot Chat in any IDE if your organization owner has disabled chat. See Managing policies and features for GitHub Copilot in your organization.
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 a bug, or how someone else's code works. For full details of what Copilot can do, see What is GitHub Copilot?.
Instructions for using Copilot differ depending on where you are using it. This guide focuses on the command line, but also covers the IDE integrations because they are often used together. The official documentation provides quickstarts for multiple environments: GitHub website, Windows Terminal, Visual Studio Code, Visual Studio, JetBrains IDEs, and Xcode.
According to the official documentation, you can use Copilot in Terminal Chat to ask command line-related questions. For example, you can type "how do i list all markdown files in my directory" and Copilot will display an answer below your question. You can then click on an answer to insert it to the command line.
Community sources expand on this. In the DEV.to submission by Cesar Castillo (Source 3), the author describes using GitHub Copilot CLI to build a Rust-based terminal UI tool. The author asked Copilot questions like "Best way to structure async TUI in Rust?" and "How to model TUI states without boolean flags?" and Copilot suggested patterns like tokio + mpsc channels + non-blocking event loop and an AppState enum with exhaustive match.
Another DEV.to submission by Gramli (Source 4) describes using GitHub Copilot CLI to create a Star Wars lightsaber duel animation in the terminal. The author used Copilot as a "Creative Director," asking for suggestions to improve the animation. Copilot responded with ideas like motion trails, gradient lighting, impact shockwaves, molten damage, and cinematic letterboxing.
Once authenticated, you can open Terminal Chat (Experimental) from the dropdown menu and start asking questions.
While VS Code does not have a built-in Terminal Chat like Windows Terminal Canary, you can use the GitHub Copilot Chat extension to ask questions about terminal commands. The official documentation provides a quickstart for VS Code:
The official documentation mentions "About GitHub Copilot CLI" as a next step for all environments. This is a separate tool that provides command-line access to Copilot. To install it, you typically use npm:
npm install -g @githubnext/github-copilot-cli
After installation, you authenticate with GitHub and then you can use commands like gh copilot to ask questions or generate commands.
The official documentation provides an example using JavaScript. In any supported IDE (VS Code, Visual Studio, JetBrains, Xcode), you can:
function calculateDaysBetweenDates(begin, end) {
GitHub Copilot provides suggestions for numerous languages and a wide variety of frameworks, but works especially well for Python, JavaScript, TypeScript, Ruby, Go, C# and C++. It can also assist in query generation for databases, generating suggestions for APIs and frameworks, and can help with infrastructure as code development.
Explain this file.How could I improve this code?How can I test this code?Other questions you can ask include:

A Stack Overflow answer (Source 2) provides a community-sourced solution for using Copilot to generate commit messages directly from the integrated terminal in VS Code. This is useful when you are staging commits in the integrated terminal and want Copilot to suggest the commit message, allow you to make edits, and then commit without needing the mouse.
To add this functionality:
In VS Code, open your keyboard shortcuts to add a new shortcut. Press F1 and then type Preferences: Open Keyboard Shortcuts (JSON). This opens your keybindings.json file.
Paste these three new keybindings:
{
"key": "ctrl+oem_1",
"command": "runCommands",
"args": {
"commands": [
"workbench.view.scm",
"github.copilot.git.generateCommitMessage"
]
}
},
{
"key": "ctrl+oem_7",
"command": "runCommands",
"args": {
"commands": [
"git.commit",
"workbench.action.focusActiveEditorGroup"
]
},
"when": "!terminalFocus"
},
{
"key": "ctrl+oem_7",
"command": "runCommands",
"args": {
"commands": [
"git.commit",
"workbench.action.terminal.focus"
]
},
"when": "terminalFocus"
}
Replace the "key" with the keyboard shortcut you want. For example, "key": "ctrl+m". Save keybindings.json.
How to use:
This community solution is not official GitHub documentation, but it has been accepted as a solution on Stack Overflow and provides a practical workflow for developers who want to stay keyboard-focused.
A DEV.to submission by Cesar Castillo (Source 3) presents a community-built Rust-based CLI tool called copilot-usage that tracks GitHub Copilot Pro usage in real-time. This tool is not official GitHub software, but it demonstrates what is possible with the GitHub API and Copilot CLI.
Features:
--refresh flag/) for quick actions?)d)Installation (tested on Linux only):
git clone https://github.com/CGCM070/copilot-usage.git
cd copilot-usage/
./install.sh
Or manually:
cargo install --path . --force
Usage:
# First run - interactive setup
copilot-usage
# Dashboard (uses cache if available)
copilot-usage
# Force refresh from API
copilot-usage --refresh
# Waybar JSON output
copilot-usage --waybar
# Change theme temporarily
copilot-usage --theme nord
# Reconfigure token/theme
copilot-usage reconfigure
# Check cache status
copilot-usage --cache-status
Keybindings (in TUI):
| Key | Action |
|---|---|
r | Refresh data from API |
t | Open theme selector |
? | Show help dialog |
/ | Open command menu |
c | Show cache info |
q Esc | Quit / Close modal |
Configuration file: ~/.config/copilot-usage/config.toml
token = "ghp_..."
theme = "dark"
cache_ttl_minutes = 5
waybar_format = "{}"
username = "octocat"
Required GitHub Permissions:
Plan (Read) permissionread:user scopeThe author notes that this project was built with extensive help from GitHub Copilot CLI, turning natural language into idiomatic Rust code. Copilot suggested the modular component pattern that made the codebase maintainable and testable, and handled edge cases like error handling, terminal cleanup on panic, and XDG directory resolution.
Another DEV.to submission by Gramli (Source 4) demonstrates a creative use of Copilot CLI: building a Star Wars lightsaber duel animation in the terminal. The author used Copilot as a "Creative Director," asking for suggestions to improve the animation. Copilot responded with ideas like motion trails for lightsabers, gradient lighting, shockwave effects, molten damage on walls, and cinematic letterboxing.
The author's experience highlights that Copilot can be used for non-practical, visual, and creative projects, not just productivity. The process of iterating with Copilot, refining prompts, and pushing for better results was described as "surprisingly fun."
One key learning from this project was that when a feature proved too complex (like a full Y-axis camera rotation), the author had to pivot. After many new sessions and repeatedly reworking prompts, they eventually experimented with X-axis rotation and a top-down view instead. This demonstrates that Copilot has limitations, especially with complex spatial reasoning, and that human judgment is still required.
If you experience authentication issues in VS Code or Xcode, the official documentation recommends seeing Troubleshooting common issues with GitHub Copilot. Common solutions include:
If you have access to GitHub Copilot via your organization, you may not be able to use GitHub Copilot in Windows Terminal if your organization owner has disabled GitHub Copilot CLI. Similarly, you cannot use GitHub Copilot Chat in any IDE if your organization owner has disabled chat. Check with your organization administrator or see Managing policies and features for GitHub Copilot in your organization.
Terminal Chat is only available in Windows Terminal Canary. If you are using the stable version of Windows Terminal, you will not see the Terminal Chat option. Install Windows Terminal Canary from the Microsoft Store or GitHub releases.
If Copilot is not providing suggestions, check the following:
From the community sources:
copilot-usage tool is only tested on Linux. It may not work on macOS or Windows.After mastering the basics of Copilot for the CLI, you can explore the following topics, all drawn from the source material:
copilot-usage for tracking your Copilot usage from the terminal. The repository is at https://github.com/CGCM070/copilot-usage_tui.By combining the official documentation with community solutions and tools, you can create a powerful terminal workflow that leverages Copilot for command suggestions, commit messages, usage tracking, and even creative projects.
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