GitHub Copilot CLI: Choose between interactive and non-interactive modes

GitHub Copilot CLI transforms the way developers interact with AI assistants directly from their terminal. Whether you're debugging code, exploring a new repository, or automating tasks, the CLI’s two primary modes—interactive and non-interactive—provide tailored experiences to match your workflow. Understanding these modes helps you maximize productivity without leaving your command-line environment.

How interactive mode transforms your terminal into a collaborative workspace

Interactive mode turns your terminal into a conversational partner, enabling real-time, back-and-forth exchanges with GitHub Copilot. When you launch the CLI using the copilot command, you’re automatically placed in interactive mode, where the AI agent awaits your prompts and follows up seamlessly.

This mode is ideal for developers who prefer iterative problem-solving. For example, you might start by asking how to run a project locally. Copilot responds with step-by-step instructions, which you can follow independently or request it to execute directly. The session retains full context, allowing you to refine your requests or explore new angles without restarting—similar to a pair-programming session with an AI.

Key features of interactive mode include:

• Real-time responses to follow-up questions.
• Ability to execute commands on your behalf after reviewing your project.
• Contextual memory across prompts within the same session.

To enter interactive mode, simply run:

copilot

Copilot may prompt you to trust the current folder, as it requires access to read and modify files for optimal assistance.

Non-interactive mode: instant answers without the session overhead

For developers seeking quick, one-off answers, non-interactive mode delivers results without the overhead of a persistent session. This mode bypasses the chat interface entirely, executing a single prompt and returning an immediate response—perfect for lightweight tasks like repository summaries or code snippet generation.

Non-interactive mode excels in scenarios where automation or speed is critical. For instance, you could ask Copilot to summarize your project’s purpose or list its key directories, then continue with your workflow uninterrupted. This approach is also useful for integrating Copilot into scripts or CI/CD pipelines, where human interaction isn’t feasible.

To use non-interactive mode, prepend your prompt with -p:

copilot -p "Summarize the main functions in this repository."

The CLI processes your request, generates a concise response, and exits, leaving you back in your terminal.

Resuming previous sessions for seamless continuation

Projects often span multiple sessions, and you may need to revisit a prior conversation with GitHub Copilot. The CLI simplifies this process with a built-in session resumption feature.

In interactive mode, type /resume to display a list of recent sessions. Select the one you want to continue, and Copilot restores the full context, including prior prompts and responses. Alternatively, launch non-interactive mode and use the --resume flag to skip interactive mode and directly access the session picker:

copilot --resume

This functionality ensures you never lose progress, whether you’re debugging a complex issue or refining a feature over several days.

Choosing the right mode for your workflow

The versatility of GitHub Copilot CLI lies in its dual-mode design, catering to different work styles and project demands. Interactive mode shines for exploratory tasks, collaborative debugging, and iterative development, where back-and-forth dialogue accelerates problem-solving. Non-interactive mode, on the other hand, prioritizes speed and automation, making it ideal for quick insights, script integrations, or single-command tasks.

By mastering both modes, you can leverage GitHub Copilot CLI as a flexible extension of your development toolkit—one that adapts to your needs, whether you're diving deep into a project or just need a fast answer to keep the momentum going.

Stay tuned for upcoming guides in the GitHub Copilot CLI series, where we’ll explore advanced features like slash commands and integration with MCP servers to further enhance your terminal workflows.