GitHub Copilot CLI brings agentic AI directly into your terminal, letting you generate code, explore codebases, and delegate tasks — all without leaving your shell. If you’ve been using GitHub Copilot inside VS Code or JetBrains and wondering whether it can do more, the answer is yes — and it starts at the command line.
This guide walks you through everything you need to know: what GitHub Copilot CLI is, how it differs from the editor experience, how to install and authenticate it, and how to run your first AI-powered prompts from the terminal.
What Is GitHub Copilot CLI?
Definition: GitHub Copilot CLI is a terminal-native AI coding assistant that brings GitHub Copilot’s agentic capabilities into the command-line interface (CLI). Instead of working inside an IDE plugin, it runs directly in your terminal — making it available to any developer workflow, regardless of editor preference.
Unlike traditional CLI tools that execute static commands, GitHub Copilot CLI is agentic — meaning it can plan, execute, self-correct, and iterate autonomously. You assign it a task. It explores your repository, reads relevant files, writes code, runs tests, and reports back.
Why does this matter for Indian developers? The Indian developer ecosystem is heavily command-line-centric — from DevOps engineers running Kubernetes clusters to backend developers deploying on AWS or Azure. GitHub Copilot CLI fits directly into that workflow without requiring a GUI or a browser tab.
How GitHub Copilot CLI Differs from Copilot in the Editor
This is a question most developers ask when they first hear about the CLI version. The two products share the same underlying AI model, but they serve very different workflows.
| Feature | GitHub Copilot (Editor) | GitHub Copilot CLI |
|---|---|---|
| Interface | IDE plugin (VS Code, JetBrains) | Terminal / shell |
| Interaction style | Inline suggestions & chat | Conversational prompts & slash commands |
| Agentic capability | Limited (Copilot Workspace) | Full — runs, tests, and self-corrects |
| Repository context | Active file / open tabs | Entire folder with granted permissions |
| Task delegation | Manual, in-editor | /delegate to Copilot Cloud agent |
| MCP server access | Via extensions | Built-in read-only GitHub MCP server |
| Best for | Writing code line-by-line | Multi-file tasks, project exploration, automation |
The key differentiator is autonomy. GitHub Copilot CLI can take a high-level instruction like “add a new endpoint to return all categories” and actually deliver a working implementation — without you writing a single line yourself.
How to Install GitHub Copilot CLI
Installing GitHub Copilot CLI is straightforward. The cross-platform method requires Node.js already installed on your system. Once Node is available, run the following command:
bash
npm install -g @github/copilotThis installs the Copilot CLI globally, making it accessible from any directory in your terminal.
Alternative Installation Methods
If you prefer a system package manager, GitHub Copilot CLI also supports:
- Homebrew (macOS/Linux): Check Homebrew’s formula documentation for the exact command.
- WinGet (Windows): Available via WinGet’s package registry for Windows developers.
For most developers on Ubuntu, Fedora, or macOS — the npm path is the fastest and most reliable. Confirm the installation succeeded by typing copilot in your terminal. If the tool launches, you’re ready to go.
Getting Started: Your First GitHub Copilot CLI Session
Once GitHub Copilot CLI is installed, the workflow has three stages: authenticate, grant folder access, and start prompting.
Step 1: Authenticate with GitHub
Launch the tool by typing copilot in your terminal. On first use, you’ll need to log in with your GitHub credentials:
bash
/loginThis command does two things simultaneously:
- It ties the CLI client to your GitHub Copilot subscription.
- It connects the read-only GitHub MCP server, which gives the tool access to resources stored on GitHub — repositories, issues, pull requests, and more.
After authentication, your session is linked to your GitHub account. You won’t need to log in again unless you explicitly sign out.
Step 2: Granting Folder Access
Before GitHub Copilot CLI can read or modify files in your project, you must explicitly grant it access to the folder. This is a deliberate security design — the tool won’t touch your files without permission.
When you launch Copilot inside a project directory, it will prompt you to approve folder access. You have two options:
- Session-only access: Grant permission just for the current session. Next time you open Copilot in the same folder, it will ask again.
- Persistent access: Save the folder permission so future sessions skip the approval step automatically.
For active projects you work on daily, persistent access makes more sense. For one-off explorations, session-only keeps things contained.
Step 3: Running Your First Prompts
With authentication done and folder access granted, you’re ready to interact with GitHub Copilot CLI. The tool accepts natural language prompts — no special syntax required for basic usage.
Here are three prompts to try in your first session:
Get a project overview:
Give me an overview of this projectCopilot will scan the repo structure, open key files, and return a structured summary — useful when you’re onboarding to an unfamiliar codebase.
Generate a new API endpoint:
Let's add a new endpoint to return all categoriesCopilot reads existing routes, follows the conventions it finds, writes the new endpoint, and asks for permission before creating any files.
Delegate a background task:
/delegate Let's deal with issue #14 to add the rest of the CRUD endpoints to gamesThis is where GitHub Copilot CLI gets genuinely powerful. The /delegate command hands the task off to the Copilot Cloud agent, which creates a new branch, opens a draft pull request, and makes the changes in the background while you continue working. You review and merge when ready.
Real-World Use Cases for Indian Developers
Indian software teams — from Bengaluru product startups to Pune enterprise IT shops — deal with high-velocity, multi-service codebases. GitHub Copilot CLI maps directly onto common pain points in these environments.
Here’s where it makes the biggest impact:
- Rapid API scaffolding: Ask Copilot to generate REST or GraphQL endpoints following your existing conventions. It reads your codebase first, then writes code that fits — not generic boilerplate.
- Legacy codebase onboarding: New team members can ask Copilot for a project overview before touching a single file, reducing ramp-up time significantly.
- Test generation: Prompt Copilot to write unit or integration tests for an existing function. It understands the function’s context and generates relevant test cases.
- Issue-to-PR automation: Use
/delegateto convert a well-defined GitHub issue into a draft pull request automatically, including code changes. - Debugging support: Describe an error you’re seeing and ask Copilot to investigate. It can trace through your codebase and suggest a fix.
- Documentation generation: Ask Copilot to document a module or function based on what it reads from the source files.
- CI/CD script generation: Prompt Copilot to write or modify GitHub Actions workflows, Docker configurations, or shell scripts — all within terminal context.
For developers who live in the terminal — SSH sessions on remote servers, CI pipelines, Docker containers — this kind of command line AI tool integration is a significant productivity shift.
GitHub Copilot CLI Slash Commands Explained
Slash commands are GitHub Copilot CLI’s structured action system. While free-text prompts handle most tasks, slash commands trigger specific behaviors:
| Command | What It Does |
|---|---|
/login | Authenticates with GitHub and connects the MCP server |
/delegate | Sends a task to Copilot Cloud agent (background execution) |
/help | Asks Copilot to explore its own documentation and guide you |
The /delegate command deserves special attention. When you provide a well-defined task — such as resolving a specific GitHub issue — Copilot preserves the current session’s context, creates a new branch, opens a draft PR, and executes the changes independently. This is true agentic coding: the AI acts as a junior developer you can assign work to.
More slash commands covering MCP integration, interactive/non-interactive modes, and advanced session management are coming in subsequent parts of the GitHub Copilot CLI for Beginners series.
Interactive Mode vs. Non-Interactive Mode
One of the upcoming topics in the beginner series — and worth understanding early — is the distinction between GitHub Copilot CLI’s two operating modes.
Interactive mode is the default conversational experience. Copilot runs your project locally within the session, maintains context across turns, and lets you refine prompts based on its responses. This is the mode you’ve been using throughout this guide.
Non-interactive mode uses the -p flag and is designed for scripting and automation. You pass a prompt directly as a command-line argument and get a response without entering a session. Useful for CI pipelines, shell scripts, or quick lookups without breaking your current flow.
Knowing when to use each mode will meaningfully change how you integrate this AI terminal assistant into your daily workflow.
What’s Coming Next in the Series
The GitHub Copilot CLI for Beginners series — available both as blog posts on GitHub Blog and as videos on the GitHub YouTube channel — covers the full Copilot CLI learning path. Upcoming topics include:
- Interactive vs. non-interactive modes in depth
- Copilot CLI slash commands — a complete reference
- Using MCP servers with GitHub Copilot CLI for extended context and tool access
- Best practices for writing effective prompts in the terminal
Each installment is designed to be modular — you can follow the series in order or jump to the topic most relevant to your current work.
Frequently Asked Questions
What is GitHub Copilot CLI? GitHub Copilot CLI is a terminal-native AI coding assistant that runs GitHub Copilot’s agentic capabilities directly in your command-line interface. It can generate code, explore repositories, run tests, and delegate tasks — all from the terminal.
Do I need a paid GitHub Copilot subscription to use the CLI? Yes. GitHub Copilot CLI is part of the GitHub Copilot product family. You need an active Copilot subscription — individual, team, or enterprise — to authenticate and use the tool.
How do I install GitHub Copilot CLI? The standard installation method uses npm: npm install -g @github/copilot. You can also install it via Homebrew on macOS/Linux or WinGet on Windows.
What is the /delegate command in GitHub Copilot CLI? The /delegate command sends a task to the Copilot Cloud agent, which executes the work in the background. Copilot preserves session context, creates a new branch, opens a draft pull request, and makes the requested code changes — letting you review the result when it’s ready.
Is GitHub Copilot CLI available on Linux? Yes. GitHub Copilot CLI is cross-platform and runs on Linux, macOS, and Windows. The npm installation method works across all three platforms.
What is agentic coding? Agentic coding refers to AI-driven development where the model plans, executes, and self-corrects autonomously rather than waiting for human prompts at every step. GitHub Copilot CLI is built on this agentic model, meaning it can complete multi-step tasks without constant intervention.
Can I use GitHub Copilot CLI in CI/CD pipelines? Yes. The non-interactive mode (using the -p flag) is designed for scripted and automated environments, including CI/CD pipelines and shell scripts.