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Tuesday, May 19, 2026

Azure at GitHub Universe: New instruments to assist simplify AI app growth


With seamless integration amongst VS Code, GitHub, and Azure, we offer an AI-powered, end-to-end growth platform to remodel your apps with AI.

AI has reset our expectations of what expertise can obtain. From reworking how we discover the cosmos to enabling docs to offer customized care and making enterprise capabilities function extra intelligently, all of it comes all the way down to you—the developer—to show this potential into actuality. As builders, you’re experiencing a dramatic shift in what you construct and the way you construct it. And the instruments you utilize ought to seamlessly match into your workflow, clear up actual issues shortly, and maintain you within the move of growth.

As an organization of builders who builds for different builders, we’re excited to be a part of this variation and many people shall be at GitHub Universe to share our expertise and study from others about how AI is reshaping how we work. We’re not coming empty handed. I’m excited to announce new capabilities and instruments that additional combine Microsoft Azure AI companies instantly in your favourite dev instruments.

With seamless integration amongst Visible Studio (VS) Code, GitHub, and Azure, we offer an AI-powered, end-to-end growth platform constructing on sturdy group help that will help you remodel your apps with AI. Learn on for the small print and make sure you atone for all of the GitHub information this week.

Now in preview: GitHub Copilot for Azure, your private professional

By integrating with instruments you already use, like GitHub and Visible Studio Code, GitHub Copilot for Azure builds upon the Copilot Chat capabilities in VS Code that will help you handle sources and deploy functions. Utilizing “@ azure,” you may get customized steering to study companies and instruments with out leaving your code. This may speed up and streamline growth by provisioning and deploying Azure sources by way of Azure Developer CLI (azd) templates. GitHub Copilot for Azure additionally helps you diagnose points and reply questions on sources and prices, releasing your time to concentrate on no matter you favor whereas GitHub Copilot for Azure takes care of the remainder. Get began right now.

Deploy in as little as 5 minutes with AI App Templates

AI App Templates speed up your growth by serving to you get began sooner and simplifying analysis and the trail to manufacturing. You need to use AI App Templates instantly in your most popular growth surroundings corresponding to GitHub Codespaces, VS Code, and Visible Studio. You possibly can even get suggestions for particular templates proper from GitHub Copilot for Azure based mostly in your AI use case or situation. Most significantly, the templates present flexibility and selection, providing quite a lot of fashions, frameworks, programming languages, and options from standard AI toolchain distributors corresponding to Arize, LangChain, LlamaIndex, and Pinecone. You possibly can deploy full apps directly or begin with app parts, provisioning sources throughout Azure and accomplice companies. The templates additionally embody suggestions for added safety, like utilizing Managed Id and keyless authentication flows. Get began.

Customise and scale your AI apps

To empower you to shortly uncover, study, and experiment with a variety of the newest, most superior AI fashions, GitHub introduced right now that GitHub Fashions is now in preview, bringing you Azure AI’s main mannequin choice direct to GitHub. Constructing on that theme, the Azure AI mannequin inference API now lets you discover and entry Azure AI fashions instantly by way of GitHub Market. Examine mannequin efficiency, experiment, and mix-and-match quite a lot of fashions, together with superior proprietary and open fashions that help a broad vary of duties, free of charge (utilization limits apply).

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When you’ve chosen your mannequin and are able to customise and deploy, you may seamlessly setup and login to your Azure account to scale from free token utilization to paid endpoints with enterprise-level safety and monitoring in manufacturing. Study extra.

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Simplify Java Runtime updates with GitHub Copilot improve assistant for Java

Protecting your Java apps updated is usually a time-consuming activity. GitHub Copilot improve assistant for Java affords an method utilizing AI to simplify this course of and permitting you to improve your Java functions with minimal guide effort. Built-in into standard instruments like Visible Studio Code, the GitHub Copilot improve assistant for Java generates an improve plan and guides you thru a step-by-step course of to transition from an older Java runtime to a more moderen model with non-obligatory dependencies and frameworks corresponding to Spring Boot and JUnit. Throughout the improve, the assistant routinely fixes points by way of a dynamic construct or repair loop and makes use of a human-in-the-loop method so that you can deal with different errors and make fixes if mandatory. It ensures transparency by offering entry to logs, code modifications, outputs, and particulars at each step, supplying you with full management whereas benefiting from enhanced AI automation all through the method. As soon as the improve is full, you may simply overview the detailed abstract, and examine all code modifications, making the complete improve course of easy and environment friendly, permitting you to concentrate on innovation as a substitute of guide upkeep.

Scale AI functions with Azure AI analysis and on-line A/B experimentation utilizing CI/CD workflows 

Given trade-offs between enterprise affect, danger and value, you want to have the ability to constantly consider your AI functions and run A/B experiments at scale. We’re considerably simplifying this course of with GitHub Actions that may be built-in seamlessly into current CI/CD workflows in GitHub. In your CI workflows, it is possible for you to to run automated analysis after modifications are dedicated leveraging the Azure AI Analysis SDK to compute metrics corresponding to coherence and fluency. Following profitable deployment, A/B experiments are routinely created and analyzed utilizing out of the field AI mannequin metrics and customized metrics as a part of CD workflows. Alongside the best way you too can interact with a GitHub Copilot for Azure plugin that assists with experimentation, creates metrics, powers choices and extra. Keep tuned for extra particulars at Microsoft Ignite and join our personal preview to study extra! 

We belief our enterprise with Azure, you may belief it with yours 

As you discover new AI capabilities on your group, the platform you select issues. At this time, 95% of Fortune 500 firms belief their operations on Azure. Our enterprise, together with Microsoft 365, Dynamics 365, Bing, Copilots, and so forth., additionally runs on Azure. The identical instruments and companies we use to construct and run Microsoft can be found for you. Our integration with GitHub and Visible Studio Code simplifies constructing with AI on Azure. And with greater than 60 information heart areas globally and a devoted safety staff, Azure affords a dependable and safe basis on your AI tasks. All nice causes to construct your subsequent AI app with GitHub and Azure. 

And, in the event you’re at GitHub Universe this week, cease by and say hiya to the Azure staff.


About Jessica

Jessica leads information, AI, and digital software product advertising at Microsoft. Discover Jessica’s weblog posts right here and make sure you comply with Jessica on LinkedIn



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