New from Universe 2024: Get the latest previews and releases

Find out how we’re evolving GitHub and GitHub Copilot—and get access to the latest previews and GA releases.

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Bringing developer choice to Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview

At GitHub Universe, we announced Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview and o1-mini are coming to GitHub Copilot—bringing a new level of choice to every developer.

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GitHub for Nonprofits: Drive social impact one commit at a time

Now, it’s easier than ever for nonprofits to receive GitHub product discounts.

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Code referencing now generally available in GitHub Copilot and with Microsoft Azure AI

Announcing the general availability of code referencing in GitHub Copilot and Microsoft Azure AI, allowing developers to permit code suggestions containing public code matches while receiving detailed information about the match.

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GitHub Copilot now available in github.com for Copilot Individual and Copilot Business plans

With this public preview, we’re unlocking the context of your code and collaborators—and taking the next step in infusing AI into every developer’s workflow.

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Try out OpenAI o1 in GitHub Copilot and Models

OpenAI o1-preview and o1-mini are now available in GitHub Copilot Chat in VS Code and in the GitHub Models playground.

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Enhancing the GitHub Copilot ecosystem with Copilot Extensions, now in public beta

Whether you’re an individual developer looking to streamline your workflow or an organization aiming to integrate proprietary tools, GitHub Copilot Extensions now offers a platform to make that happen and to share your creations on the GitHub Marketplace.

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First Look: Exploring OpenAI o1 in GitHub Copilot

We’ve tested integrating OpenAI o1-preview with GitHub Copilot. Here’s a first look at where we think it can add value to your day to day.

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Fine-tuned models are now in limited public beta for GitHub Copilot Enterprise

Fine-tuned models empower organizations to receive code suggestions specifically tailored to their coding practices and internal languages.

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