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Introduction to Gemini CLI: Your Code Assistant in the Terminal

Published: Nov 5, 2025
Reading Time: ~5 min
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Introduction to Gemini CLI: Your Code Assistant in the Terminal

In the world of software development, efficiency and productivity are key. Having tools that help us understand, modify, and generate code quickly and accurately can make a huge difference. Google introduces Gemini CLI, a powerful command-line interface that brings the power of the Gemini AI model directly to your terminal, with a special focus on interacting with your local files.

Unlike other assistants that rely on copying and pasting code into a web interface, Gemini CLI integrates into your development environment, allowing it to use the context of your files to provide much more precise and relevant answers.

In this article, we'll explore how to install, authenticate, and take the first steps with Gemini CLI, focusing on a practical use case: using it to understand an existing project.

Installation

The first step is to install the tool. Gemini CLI is a single binary that you can download and run.

You can find the latest installation instructions in the official documentation, but generally, for macOS, you can use a command like this:

# Example for macOS (Apple Silicon)
curl -o gemini "<https://storage.googleapis.com/cloud-sdk-release/google-cloud-cli/latest/google-cloud-cli-darwin-arm.tar.gz>"
tar -xf gemini.tar.gz
./google-cloud-sdk/install.sh

Make sure to follow the instructions for your specific operating system. Once installed, you will have access to the gemini command in your terminal.

Authentication (without API Key)

One of the easiest ways to authenticate is through your Google account, without the need to generate and manage API keys.

  1. Open your terminal and run the following command:

    gemini auth login
    
    
  2. Gemini CLI will provide you with a URL. Copy and paste it into your web browser.

  3. You will be asked to log in with your Google account and grant permissions to the application.

  4. Once you authorize the application, the CLI will automatically authenticate, and you'll be ready to start.

This method is secure and fast, ideal for starting to experiment with the tool without complications.

First Steps: A Practical Use Case

The real magic of Gemini CLI lies in its ability to use the context of your local file system. You don't need to "feed" it files manually; simply ask it a question from your project's directory.

Imagine you have a folder full of project documents, such as meeting notes and requirement specifications. The folder looks something like this:

/project_docs
ā”œā”€ā”€ meeting_notes_2025-10-15.md
ā”œā”€ā”€ project_requirements.md
└── q4_report.md

You need to quickly find which document discusses the budget for the next quarter, but you don't remember which one it is or where it was mentioned.

Instead of opening each file and searching manually, you can stand in the project_docs directory and ask Gemini directly:

gemini "in which document are the 'Q1 budget allocation' details mentioned?"

Gemini will scan the files in the directory and identify the one containing the information you're looking for.

Expected response from Gemini:

The details for the 'Q1 budget allocation' are mentioned in the file meeting_notes_2025-10-15.md. The document states: "The preliminary budget for the Q1 'Phoenix Project' was approved at $75,000, with final allocation details to be confirmed by EOD."

This ability to search and synthesize information across multiple files makes Gemini an incredibly powerful tool for knowledge workers, project managers, and anyone who deals with a large volume of text-based documents. It transforms your local folders into a searchable knowledge base.

Conclusion

Gemini CLI is more than just a simple chatbot in your terminal. It's a development tool that integrates with your local environment to offer you intelligent, contextual assistance. From simple installation and authentication to its powerful ability to work with local files, Gemini is designed to become an essential part of your development toolkit.

I encourage you to try it in your own projects and discover how it can help you be a more efficient and productive developer.

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