Gemini CLI: Free & Open Source Coding Agent by Google

The command line has always been a developer’s haven, a space where ideas take shape, bugs are crushed, and real innovation begins. Now, Google is stepping in to amplify that environment with a major announcement that has the potential to reshape how we write and manage code. Enter Gemini CLI: a free, open-source AI coding agent that brings Google’s Gemini right into your terminal, and the best part? It’s fully accessible to individual developers.

Imagine you’re knee-deep in a tricky coding problem, juggling nested functions, or struggling with legacy code. Instead of alt-tabbing between browser windows and scattered documentation, you type out your question in plain English. Your terminal responds with intelligent, context-aware guidance tailored to your project, your codebase, and even your current working directory. But this isn’t some far-off dream; it’s exactly what Google just delivered to millions of developers around the world. In this blog, we will know all about Gemini CLI, its features, its accessibility, and its use cases.

What is Gemini CLI?

Gemini CLI is Google’s forward-looking solution to bring the full force of advanced AI into developers’ daily workflows right at their fingertips.  Still in preview, this open-source AI agent is designed for simplicity, speed, and deep integration with your terminal environment. Whether you’re on Mac, Windows, or Linux, Gemini CLI works right inside your terminal of choice.

Think of it as a brilliant coding companion that lives in your terminal and is always available. It doesn’t just spit out generic responses. It reads your files, understands your folder structure, recognizes how your code fits together, and responds with thoughtful, context-aware suggestions.

With Gemini CLI, there’s no need to copy-paste code into a browser-based AI tool or explain everything from scratch. You can ask it to explain a function, write a new feature, debug an error, or even restructure parts of your codebase, and it responds clearly and concisely. All of this happens inside the terminal, so your workflow remains uninterrupted.

Key Features of Gemini CLI

Gemini CLI isn’t just another assistant that generates code snippets. It’s designed to be a core part of your workflow, helping with every step of development, from understanding code to running terminal commands. Here’s what makes it stand out:

Code Understanding & Analysis

• Analyzes and explains complex codebases using natural language
• Helps make sense of legacy code and even suggests ways to modernize it
• Recognizes architectural patterns and can generate internal documentation
• Flags security vulnerabilities and offers specific, actionable recommendations

File & Project Management

• Helps organize your files based on their functionality and structure
• Restructures a project while preserving dependency chains
• Performs bulk file operations using straightforward natural language instructions
• Understands relationships between files across large codebases

Enhanced Command Execution

• Translates plain English into working terminal commands
• Automates complicated sequences of commands and optimizes them
• Learns from your command usage patterns to suggest personalized shortcuts
• Reduces errors by validating commands before they’re executed

Advanced Integration Capabilities

• Built-in support for MCP enabling extensibility
• Leverages Google Search to provide live references and documentation
• Works with Veo and Imagen tools to assist with creative content generation
• Seamlessly integrates into most existing development workflows and environments

Perhaps most impressively, when something breaks, i.e., when an error pops up or a module fails, Gemini CLI can investigate the issue, examine your code, and suggest targeted fixes. It’s like having a seasoned developer always available to jump in and help you troubleshoot.

How to Access Gemini CLI?

Getting started with Gemini CLI is easy. The setup is minimal; you’ll be up and running in just a few minutes.

Step-by-Step Installation

1. First, install Node.js. Head to nodejs.org and grab the appropriate version for your OS.

2. Open your terminal or PowerShell (if you’re using Windows).
3. Run this command to install Gemini CLI globally:

npm install -g @google/gemini-cli

4. Once installed, just type gemini in the terminal to launch it.

Authentication & Setup

Authenticating your Google Account during the setup is necessary for a seamless experience:

• You’ll sign in with your personal Google account to get started.

• There’s no need to configure API keys or set environment variables manually.
• It supports all major platforms: Mac, Windows, and Linux.

The user interface feels familiar and intuitive, especially for developers who already spend most of their time in the terminal. It’s lightweight, quick, and fits right in with your usual workflow.

Gemini CLI with Gemini Code Assist

Gemini CLI is part of Google’s broader vision of AI-assisted development, and it integrates tightly with Gemini Code Assist, Google’s IDE-based coding assistant for developers at all levels. The two tools share the same underlying technology, so you can expect consistent results whether you’re using the terminal or a full-featured editor like VS Code.

Gemini Code Assist is particularly effective in VS Code environments. With agent mode, you can type a prompt into the chat window, and it will do the heavy lifting: from writing tests and fixing bugs to building out features or helping with large-scale code migrations.

The best part? You’re not locked into one interface. Whether you prefer the speed of a terminal or the comfort of your IDE, the underlying Gemini engine supports both, and context carries over smoothly between them.

Code Assist’s agent mode offers a deeper layer of intelligence. It breaks down prompts into structured plans, handles failures during implementation, and even suggests new approaches you might not have considered. It’s not just responding to instructions; it’s thinking a few steps ahead.

Now, let’s put this latest coding agent by Google to the test!

Hands-On Task 1: Code Analysis and Explanation

To get a feel for Gemini CLI, let’s try it on a real project. Open your terminal, navigate to an existing codebase, and launch Gemini CLI using the command:

gemini

Then you can try a few natural language requests with prompts like:

• “Explain the main function in this codebase.”
• “What are the potential security vulnerabilities in this authentication module?”
• “Simplify this complex algorithm and suggest modern alternatives.”

Gemini will return thoughtful, clear, and easy-to-understand explanations. It doesn’t just tell you what the code is doing – it gives you insight into why it’s written that way and how it fits into your overall architecture.

Result:

Result Analysis:

When I ran Task 1, Gemini CLI did a good job of figuring out what the script was all about. I looked through the testing.py file and realized there wasn’t a main function, and nothing gets executed directly.

Instead, the file is more like a toolbox filled with functions for visualizing different aspects of the model. The function run_visualizations() stood out as the one that ties everything together. It’s used to generate things like training graphs, prediction heatmaps, and evaluation metrics.

What I liked was how Gemini picked up on the fact that the main training logic probably lives in the notebook file, not here (a small but important detail), which shows it understands how codebases are often structured in real-world projects.

Hands-On Task 2: Automated Development Tasks

Where Gemini CLI shines is in automating development tasks that usually eat up a lot of time. Here are some practical examples to try:

• Code Generation: “Create a REST API endpoint for user authentication with proper error handling.”
• Project Organization: “Organize these utility functions into separate modules based on functionality.”
• Testing Automation: “Generate comprehensive unit tests for a payment processing module.”

Following is a demonstration of code generation, where you’ll see your legacy code transformed into modern, clean JavaScript that’s easier to read and maintain, all while keeping the core logic intact.

Result:

Result Analysis:

Task 2 was all about setting up a basic user authentication API, and I have to say, Gemini CLI made the process surprisingly smooth. It started by scaffolding a Node.js project and then handled the setup – installing express, bcrypt, and jsonwebtoken, without any fuss.

From there, it generated two endpoints: one for user registration and one for login, which returns a JWT on successful authentication. What I appreciated was that it didn’t just throw code at me, but it explained what each piece was doing along the way.

It even caught a small mistake in the file path and fixed it, which was kind of cool to watch. Error handling was built-in and pretty solid, with clear messages for missing fields or invalid credentials. Overall, the whole experience felt like pairing with a really focused dev who just wanted to help me ship something that works and does it right.

Pricing of Gemini CLI

Google has taken a very developer-friendly approach when it comes to pricing the Gemini CLI. The tool’s free tier is extremely generous, offering advanced AI support without any upfront cost.

Free Tier Benefits:

• You get 1,000 requests per day, completely free.
• You’re allowed up to 60 requests per minute, which is more than enough for active sessions.
• Access to Gemini 2.5 Pro with a massive 1 million token context window.
• Comes bundled with a free Gemini Code Assist license when using your personal Google account.

Professional Options:

• For heavier use or professional teams, Google AI Studio offers usage-based pricing with flexibility.
• Vertex AI provides a scalable infrastructure tailored to enterprise needs.
• Code Assist Standard/Enterprise options enhance team collaboration features.
• Custom licensing packages are available for large organizations with specialized requirements.

The free offering alone is enough for most individuals, hobbyists, and even small dev teams to work without ever worrying about limitations. It’s one of the most generous free AI tooling tiers available today. Google’s approach is clearly about making AI development accessible, while still offering scalable options for those who need more power.

Advantages of Gemini CLI

Some of the advantages of Gemini CLI are:

• Works within your terminal: No need to leave your coding environment or open a browser; everything happens where you’re already working.
• Understands your code context: It can read your local files, making its responses smarter and more relevant to your specific project.
• Easy to install and use: Within just a few commands, it’s up and running on Windows, macOS, or Linux, even for beginners.
• Free and Open-Source: Offers a generous free tier and full transparency through its open-source model.

Limitations of Gemini CLI

A few drawbacks of the Google Gemini CLI coding agent are:

• Still in preview mode: Some features may feel experimental or unstable as the tool continues to evolve
• Limited project-wide analysis: Can struggle with large or complex codebases spread across many files
• No Git or team Features: Lacks built-in version control integration or real-time collaboration support
• Prompt quality matters: You’ll get the best results only with clear, well-phrased inputs, which might require some trial and error

Conclusion

The Gemini CLI represents a significant leap forward for AI-assisted development. It’s open source (under the Apache 2.0 license), which means you can look under the hood, understand how it works, and even contribute to its growth. That transparency builds trust and opens the door for innovation by the developer community.

The generous free tier means that advanced AI assistance is no longer limited to big companies or teams with large budgets. With up to 1,000 daily requests, most individual developers can integrate Gemini CLI into their daily workflow with no cost at all.

Most importantly, Gemini CLI doesn’t disrupt your process; it enhances it. It brings intelligence to the terminal without adding complexity or forcing you to change how you work. And because it’s open to contributions, it’s likely to keep evolving with the needs of the developer community.

Frequently Asked Questions