Google just gave its Gemini chatbot a major brain boost—Gemini Advanced users can now plug in entire GitHub repos, public or private, and let the AI dig deep into the code.

Why does that matter? Because this might quietly change how you write, read, and debug code forever.

The new GitHub integration lets Gemini go beyond general questions and actually interact with your codebase.

Once you connect your GitHub repo, Gemini can analyze project structure, explain files line by line, generate new code snippets, help with debugging, and even recommend improvements.

It’s not just giving you code—it’s reading your context and working with it.

To get started, you’ll need to be on the Gemini Advanced plan.

From there, you can authenticate your GitHub account and select which repo you want Gemini to access.

Public and private repositories are both fair game.

Once linked, you can ask questions like “What’s the main function of this file?” or “Can you refactor this component to make it more readable?” and Gemini will respond based on the actual code in the repo—not just vibes.

Google says this is part of a bigger push to make Gemini an everyday tool for developers, not just a chatbot with code samples.

It joins the recent rollout of deeper Workspace integrations and planning tools, nudging Gemini closer to being an AI co-pilot for your entire digital workflow.

And yes, if you’re thinking this makes Gemini more competitive with tools like GitHub Copilot—you're not wrong.

But what sets Gemini apart is how tightly it’s threading AI into Google’s ecosystem, from Docs to Sheets to now GitHub, with an eye on both solo developers and full-stack teams.

Bottom line: if you’ve ever dreamed of asking a chatbot “Why does this function break every third deploy?” and actually getting a helpful answer based on your code, you’re going to want to try this.