GitHub Copilot for Azure
Azure at GitHub Universe: New resources to make developing AI apps easier
Microsoft Azure is to be part of this shift as a development firm that produces for other developers. Many of its employees will be at GitHub Universe to share their experiences and learn from others about how artificial intelligence is changing the way we work. I’m thrilled to share new features and resources incorporating Microsoft Azure AI services into your preferred development tools.
Microsoft’s AI-powered, end-to-end development platform, built on a solid community, seamlessly integrates Visual Studio (VS) Code, GitHub, and Azure to assist you in transforming your apps with AI. For more information, continue reading.
What is GitHub Copilot?
GitHub Copilot is an AI-powered coding assistant that makes it easier and faster for developers to create code. As developers type, it offers contextual aid by suggesting code, which could be a line completion or an entirely new block of code.
Code creation
Full lines and functions can be generated using Copilot. You can write code and have Copilot finish it or describe it in normal language.
Fixing errors
Copilot can remedy code or terminal errors.
Learning
Copilot can help you master a new programming language, framework, or code base.
Documentation
Copilot generates documentation comments.
A large language model (LLM) generates fresh content for Copilot by analyzing and processing massive volumes of data. It writes JavaScript, Python, Ruby, and TypeScript.
Copilot works in your IDE or command line. It’s also available on GitHub.com for enterprise users.
GitHub Copilot for Azure, your expert, is now available in preview
GitHub Copilot for Azure expands on the Copilot Chat features in Visual Studio Code to assist you in managing resources and deploying apps by connecting with programs you currently use, such as GitHub and Visual Studio Code. Without revealing your code, you can receive tailored instructions to learn about services and tools by using “@ azure.” Using Azure Developer CLI (azd) templates to provision and deploy Azure resources helps speed up and simplify development. Additionally, GitHub Copilot for Azure assists you with troubleshooting and answering inquiries regarding expenses and resources, allowing you to devote your time to your preferred activities while GitHub Copilot for Azure handles the rest.
Use AI App Templates to deploy in as little as five minutes
AI App Templates let you get started more quickly and streamline the review and production process, which speeds up your development. AI App Templates can be used directly in the development environment of your choice, including Visual Studio, VS Code, and GitHub Codespaces. Based on your AI use case or situation, GitHub Copilot for Azure can even suggest particular templates for you.
The templates, which offer a range of models, frameworks, programming languages, and solutions from well-known AI toolchain suppliers including Arize, LangChain, LlamaIndex, and Pinecone, most significantly give freedom and choice. You can start with app components and provision resources across Azure and partner services, or you can deploy entire apps at once. Additionally, the templates include suggestions for enhancing security, such as utilizing keyless authentication flows and Managed Identity.
Personalize and expand your AI applications
GitHub announced today that GitHub Models is currently in preview, bringing Azure AI’s top model selection straight to GitHub, enabling you to swiftly find, learn, and experiment with a variety of the newest, most sophisticated AI models. Expanding on that theme, you can now explore and utilize Azure AI models directly through GitHub Marketplace with the Azure AI model inference API. For free (use limits apply), compare model performance, experiment, and mix and match different models, including sophisticated proprietary and open models that serve a wide range of activities.
You can easily set up and connect in to your Azure account to grow from free token usage to premium endpoints with enterprise-level security and monitoring in production after you’ve chosen your model and are prepared to configure and deploy.
Use the GitHub Copilot upgrade assistant for Java to streamline Java Runtime updates
It can take a lot of time to keep your Java apps updated. The GitHub Copilot Java upgrade helper provides a method that uses artificial intelligence (AI) to streamline this procedure and enable you to update your Java apps with less manual labor. The GitHub Copilot upgrade assistant for Java, which is integrated into well-known programs like Visual Studio Code, creates an upgrade plan and walks you through the process of upgrading from an older Java runtime to a more recent version with optional dependencies and frameworks like JUnit and Spring Boot.
Using a dynamic build or repair loop, the assistant automatically resolves problems during the upgrade, leaving you to handle any remaining mistakes and apply changes as needed. By granting you complete control and enabling you to take advantage of improved AI automation at every stage, it guarantees transparency by giving you access to logs, code modifications, outputs, and information. After the upgrade is finished, you can quickly go over the comprehensive summary and check all code changes, which makes the process seamless and effective and frees you up to concentrate on creativity rather than tedious maintenance.
Use CI/CD workflows to scale AI apps with Azure AI evaluation and online A/B testing
You must be able to conduct A/B testing at scale and regularly assess your AI applications given trade-offs between cost, risk, and business impact. GitHub Actions, which can be easily included into GitHub’s current CI/CD workflows, are greatly streamlining this procedure. After changes are committed, you can use the Azure AI Evaluation SDK to compute metrics like coherence and fluency and perform automatic evaluation in your CI workflows. After a successful deployment, CD workflows automatically generate and analyze A/B tests using both custom and off-the-shelf AI model metrics. You can also interact with a GitHub Copilot for Azure plugin along the route, which facilitates testing, generates analytics, informs choices, and more.
You can trust Azure with your business, just as we trust it with ours
The platform you select is important as you investigate new AI possibilities for your company. Currently, 95% of Fortune 500 businesses rely on Azure for their operations. Azure is also used by its company to run programs like Dynamics 365, Bing, Copilots, Microsoft 365, and others. You have access to the same resources and tools that it use to create and manage Microsoft. Building with AI on Azure is made easier by its interaction with GitHub and Visual Studio Code. Additionally, Azure provides a dependable and secure basis for your AI projects with over 60 data center regions worldwide and a committed security staff. These are all excellent reasons to use Azure and GitHub to develop your next AI application.
GitHub Copilot pricing
There are various GitHub Copilot pricing tiers for people, businesses, and organizations:
Copilot individual
Individual developers, freelancers, students, and educators can pay $10 a month or $100 annually. It is free for verified students, instructors, and maintainers of well-known open source projects.
Business copilot
$19 per user per month for companies looking to enhance developer experience, code quality, and engineering velocity.
Your billing cycle can be switched from monthly to annual at any moment, or the other way around. The modification will become effective at the beginning of your subsequent payment cycle.
