Get coding help from Gemini Code Assist — now for free

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Our latest developer-focused DORA research shows that over 75% of developers use AI in their daily tasks. For instance, more than 25% of all new code at Google is created by AI, then reviewed and approved by engineers.
While well-funded organizations equip their engineering teams with the latest AI tools, such resources haven't always been available to students, hobbyists, freelancers, and startups. With the global developer population expected to reach 57.8 million by 2028, we believe AI should be accessible to everyone, regardless of their ability to pay, so they can start using what are quickly becoming the standard digital tools of the future.
To close that gap, today we’re announcing the public preview of Gemini Code Assist for individuals, a free version of our AI coding assistant.
Gemini Code Assist for individuals is available worldwide and powered by Gemini 2.0. It supports all programming languages in the public domain and is specifically optimized for coding. We refined the Gemini 2.0 model for developers by analyzing and validating many real-world coding scenarios. As a result, the quality of AI-generated recommendations in Gemini Code Assist is better than ever and ready to tackle the various daily challenges developers face, whether they’re hobbyists or startup developers.
While other popular free coding assistants have strict usage limits, usually allowing only 2,000 code completions per month, we wanted to offer something more generous. We're providing nearly unlimited capacity with up to 180,000 code completions per month using Gemini Code Assist—a limit so high that even today’s most dedicated professional developers would find it hard to exceed.
But AI isn't just a tool for speeding up code writing; it also helps us write better code. A quality and efficient code review process is crucial, yet code reviews often take a lot of time and can delay progress. That's why we're reducing the time developers spend on code reviews with the public preview of Gemini Code Assist for GitHub. It offers free, AI-powered code reviews for both public and private repositories.
Developers want AI coding assistance where they work, at no cost. Most developers spend their time coding in integrated development environments (IDEs). With the new, free version of Gemini Code Assist available in Visual Studio Code and JetBrains IDEs, individual developers now have access to the same code completion, generation, and chat features that we've provided to businesses for over a year. These features are already free in Firebase and Android Studio. Now, anyone can easily learn, create code snippets, debug, and modify their existing applications—all without switching between different windows for help or copying and pasting information from separate sources.
With the generous usage limit of 90 times more code completions per month than other popular free coding assistants, all types of coders can benefit. If you're a student working on a time-sensitive project, you won't have to worry about your coding project being stalled due to hitting a cap or chat limits interrupting your pair-programming sessions.
Gemini Code Assist for individuals offers a generous token context window, supporting up to 128,000 input tokens in chat. This large context window allows developers to work with large files and gives Gemini Code Assist a better understanding of their local codebases.
The chat feature also helps developers focus on the creative aspects of development, while leaving necessary but repetitive tasks—like writing comments or automated tests from requirements—to Gemini.
Developers can use natural language in various languages with Gemini Code Assist to generate, explain, and improve code. For example, a freelance website developer could quickly get code with a prompt like, "Build me a simple HTML form with fields for name, email, and message, and then add a 'submit' button." Or someone wanting to automate routine tasks can ask Gemini to "Write a script that sends a daily email with the latest weather forecast," or "Explain what this Python code snippet does and find any errors."



