Google has expanded the capabilities of its Gemini AI assistant by introducing GitHub integration for users of the Gemini Advanced plan.
Highlights
This update enables the chatbot to interact with both public and private GitHub repositories, marking a move toward offering more practical tools for software developers. The Gemini Advanced plan is available for $20 per month.
The new integration allows users to connect a GitHub repository by clicking the “+” icon in the chatbot’s prompt bar, selecting “Import code,” and entering a GitHub URL.
Once connected, Gemini can analyze source code, explain code structures, help identify bugs, and even suggest or generate new code aligned with the existing project.
This update places Gemini among the growing list of AI-powered development assistants aimed at improving productivity in software engineering environments.
However, like many generative AI models, Gemini has limitations. While the integration adds convenience, challenges remain in generating secure, production-ready code. AI-generated suggestions may still include logical errors or security flaws.
Industry evaluations of similar AI coding tools, such as the Devin assistant, have shown inconsistent performance—highlighting the current gap between AI capabilities and real-world software development standards.
Gemini Chatbot with GitHub – Features
AI-Powered Code Reviews with Gemini Code Assist
Gemini Code Assist now provides automated code review capabilities on GitHub. It can scan pull requests, identify bugs or stylistic issues, and suggest improvements.
Developers can engage with Gemini directly within GitHub comments using specific commands, allowing for faster and more collaborative code reviews.
Compatibility with GitHub Copilot
Gemini 1.5 Pro is now available as an alternative model within GitHub Copilot Chat. This integration offers developers an additional option for AI-assisted development workflows, complementing GitHub’s existing suite of AI tools.
Ongoing Issues with Code Importing
Some users have reported challenges while importing code folders into Gemini, particularly when uploading multiple files.
In certain cases, the platform flags these uploads as exceeding file limits, despite the size being within acceptable boundaries. These incidents suggest areas for technical refinement.
Jules: Experimental Coding Agent
In addition to Gemini’s core functionality, Google has introduced “Jules,” an experimental AI code agent. Jules is designed to assist with multi-step debugging tasks and automated file modifications within GitHub.
The agent currently supports Python and JavaScript workflows and can prepare pull requests autonomously. Jules is still in development, but it reflects Google’s continued exploration of AI-driven software automation.
Free Access for Individual Developers
To broaden access, Google has launched a free version of Gemini Code Assist for individual developers.
This version includes features such as code completion and the ability to use natural language instructions across multiple programming languages, making advanced tooling more accessible outside of enterprise environments.
Google’s integration of Gemini with GitHub arrives shortly after OpenAI introduced similar features for its ChatGPT product.
OpenAI’s recent updates include connectors for GitHub, SharePoint, and Microsoft OneDrive, indicating a competitive push across the industry to extend AI models into developer ecosystems.
As part of this broader trend, Google’s strategy appears focused on embedding Gemini into workflows that are central to modern software development. With Microsoft already integrating Copilot across the Office suite and Azure services.
