Google has officially made Gemini Code Assist generally available for all developers, marking a significant milestone for its AI-powered coding assistant. Initially launched in public preview earlier this year, both the individual version and the GitHub code review agent have now graduated to full availability.
The latest release is powered by Gemini 2.5, Google's most advanced AI model, bringing substantial improvements to coding performance. Developers can now leverage enhanced capabilities for creating visually compelling web applications, performing complex code transformations, and editing existing codebases with greater accuracy.
Gemini Code Assist offers extensive customization options across all versions, allowing developers to tailor the tool to their specific workflows. Users can create custom commands for automating repetitive tasks, specify rules for AI-generated code, and maintain chat history to easily resume previous work. The system also supports enforcing team coding standards and architectural patterns.
For GitHub users, the code review agent automatically summarizes pull requests and provides in-depth code reviews. Developers can interact directly with Gemini in pull request comments, asking clarifying questions or using the /gemini command to prompt specific actions. The tool can be customized through configuration files in the .gemini/ folder, including custom style guides and review preferences.
The free version for individuals offers a generous quota of up to 180,000 code completions per month, significantly more than competing services. This makes advanced AI coding assistance accessible to students, hobbyists, and startup developers who previously couldn't afford such tools.
Google has also announced that Gemini Code Assist Standard and Enterprise users will soon benefit from a massive 2 million token context window when it becomes available on Vertex AI. This expanded capability will enable developers to work with larger codebases and perform more complex tasks like bug tracing and generating comprehensive documentation.
According to Google's research, developers using Gemini Code Assist are 2.5 times more likely to successfully complete common development tasks compared to those without AI assistance, highlighting the tool's impact on productivity.