6 Essential Tips for Mastering GitHub Copilot CLI

Welcome to GitHub Copilot CLI for beginners! Whether you're a seasoned developer or just starting out, the command-line interface can feel intimidating at first. But with GitHub Copilot CLI, you have a powerful AI assistant right in your terminal. This article will guide you through the key differences between its two core modes—interactive and non-interactive—and provide practical tips for using each effectively. By the end, you'll know how to navigate the CLI like a pro, ask the right questions, and streamline your workflow. Let's dive into the six things you need to master GitHub Copilot CLI.

1. Understand the Two Main Modes: Interactive vs. Non-Interactive

GitHub Copilot CLI comes in two flavors: interactive and non-interactive. Interactive mode is like having a conversation—you enter a dedicated session where you can ask questions, get answers, and follow up with more prompts. It's ideal for complex tasks where you need to explore, iterate, and refine your approach. Non-interactive mode, on the other hand, is a quick, one-shot interaction: you type a single prompt in your regular command line, and Copilot responds instantly. Think of it as a fast lane for simple questions or commands, letting you stay in your normal workflow without entering a separate session. Both modes share the same underlying AI, but knowing when to use each is key to efficiency.

2. Start a Copilot Session in Interactive Mode

To enter interactive mode, simply type copilot at your command line and press Enter. Copilot may ask for permission to read and modify files in your current folder—grant it to access your project's context. Once inside the session, you'll see a chat-like interface. Ask your first question, like “How do I run this project locally?” Copilot will respond with instructions. The real power comes from the ability to ask follow-ups, such as “Can you run it for me?” Then Copilot analyzes your project, executes commands, and provides feedback—all within the same session. This mode is perfect for deep exploration: you can review code, request changes, and keep the conversation going until you're satisfied. Interactive sessions are persistent; when you exit, you can resume later (learn how in tip 6).

3. Use Non-Interactive Mode for Quick One-Shot Prompts

Non-interactive mode is all about speed and simplicity. Start from your regular command line (if you're inside a Copilot session, type exit first). Then type copilot -p followed by your prompt, like “Quickly summarize what this repository does and the key folders.” Hit Enter, and within seconds you get a concise answer—no follow-up needed. This mode shines for repetitive or automated tasks: summarizing a repo, generating a code snippet, or even piping output into other tools. It's also great for scripting, where you can embed Copilot requests into shell scripts or CI/CD pipelines. Because it doesn't open a session, you stay in your terminal's flow, making it ideal for developers who want a quick answer without context switching.

4. Know When to Choose Interactive Over Non-Interactive

Choosing the right mode depends on your goal. Interactive mode is best when you're exploring unfamiliar code, debugging complex issues, or need step-by-step guidance. Its conversational nature lets you ask clarifying questions, tweak commands, and see results in real time. For example, if you're setting up a new project and don't know the required commands, interactive mode walks you through the process. Non-interactive mode, however, is perfect for well-defined, single requests: “Show me the import statements in this file” or “Convert this Python script to Bash.” It's faster because you don't need to follow up. A good rule of thumb: if you think you'll need more than one question, use interactive. If it's a one-off query, go non-interactive.

5. Master the Syntax for Both Modes

To get the most out of each mode, learn the basic commands. For interactive mode: copilot to start a session; within it, use natural language prompts. You can also type /help for available commands. To exit, type exit. For non-interactive mode: copilot -p "your prompt" is the standard format. You can also use copilot -p "prompt" | other-command to pipe the output. Advanced users can add flags like --model to choose a different AI model or --no-tty for automation. Remember that interactive mode saves your session context, so you can pick up where you left off. Practice both, and you'll quickly learn which syntax feels natural for your workflow.

6. Resume a Previous Interactive Session

One of the best features of interactive mode is the ability to resume a previous session. When you exit an interactive session (by typing exit or pressing Ctrl+D), Copilot stores your conversation history. To resume, simply run copilot again in the same directory—the session restores automatically. This is incredibly useful for long tasks or when you get interrupted. You'll see your previous prompts and answers, ready to continue. If you want to start fresh, use copilot --new-session to ignore the saved history. Note: sessions are stored per directory, so different folders have independent conversations. This feature makes interactive mode feel like a persistent assistant that remembers your context, enabling deeper collaboration over time.

GitHub Copilot CLI offers a flexible, powerful way to interact with AI right from your terminal. By understanding the two modes—interactive for exploration and non-interactive for speed—you can tackle any project efficiently. Remember to start sessions with copilot for deep work, use copilot -p for quick answers, and leverage history to pick up where you left off. Practice these tips, and soon you'll navigate the command line with confidence and ease. Happy coding!