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GitHub Copilot for Azure: 6 Must-Try Features

by info.odysseyx@gmail.com
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As developers, we’re constantly looking for tools to streamline our workflow and increase productivity.

… enter GitHub Copilot for AzureNow in public preview!

This is a new addition to the toolkit that integrates seamlessly with: GitHub Copilot Chat to visual studio code. Let’s break down some details.

  • What is it?: You can think of it as your personal assistant for navigating the Azure cloud.
  • Issues resolved: Instead of switching between your IDE and the Azure portal multiple times to manage your infrastructure and services, you can stay in the IDE you’re working in.
  • Issues resolved: Instead of opening 10Day Browser tabs document services, commands, and arguments so you can stay right in the IDE you’re working in.
  • How do I use it? Ask ‘@azure’ in GitHub Copilot Chat.

In this blog, we explore six essential features of GitHub Copilot for Azure and show you how they can enhance your development experience and optimize your cloud projects. From Azure service discovery to AI model querying and migration planning, these capabilities help you achieve more with less effort.

GitHub Copilot Feature No. 1 for Azure – Discover Azure services and AI templates

Dan is a developer and would like to deploy containers on Azure, but doesn’t know where to start. We guide you through choosing Azure services for your containers using GitHub Copilot for Azure in Visual Studio Code, provide commands you can use to deploy sample solutions, and even provide samples that include the Azure AI features you want to integrate. to his solution.

Check out the video below to see the prompts Dan used and the helpful responses returned by GitHub Copilot for Azure.

GitHub Copilot for Azure Feature No.2 – Deploy to Azure using context

April has developed a Django app with VS Code and plans to deploy it to Azure. She found helpful documentation using GitHub Copilot for Azure. She provided the code context, prompted me to expand, and then provided the code changes and terminal commands needed to deploy the project to Azure.

Check out the video below to see the prompts April used and the helpful responses returned by GitHub Copilot for Azure.

GitHub Copilot for Azure Feature No. 3 – Understand and manage models in Azure AI

Bethany, an AI engineer, wants to work with her team on modern AI models on Azure. She researches all available Azure AI services, determines whether GPT-4o models are already deployed in her team’s subscription for reuse in development and testing, and finally explores deploying new GPT-4o mini models.

Check out the video below to see the prompts Bethany used and the helpful responses returned by GitHub Copilot for Azure.

GitHub Copilot for Azure Feature No.4 – Explore Azure Resources

Amy, an Azure administrator, manages her team’s subscriptions. She uses GitHub Copilot for Azure to explore accessible subscriptions and deployed resource groups through natural language queries. She found Azure Resource Graph queries useful for immediate use or future reference.

Check out the video below to see the prompts Amy used and the helpful responses returned by GitHub Copilot for Azure.

GitHub Copilot for Azure Feature No. 5 – Planning your migration to Azure

As a cloud engineer, Gwen must migrate SQL Server from an on-premises environment to the cloud to prioritize HIPAA compliance and limit downtime. GitHub Copilot for Azure suggests suitable Azure services and tools such as Azure Database Migration Service. Develop a migration plan with links and documentation. After deployment, the extension provides details of the deployed instance to your code.

Check out the video below to see the prompts Gwen used and the helpful responses returned by GitHub Copilot for Azure.

GitHub Copilot for Azure feature number 6 – Deploy to Azure Kubernetes Service

Dan needs to deploy a containerized application to Azure Kubernetes Service, but needs to know how to start creating a cluster. You can use VS Code’s GitHub Copilot for Azure and Azure Kubernetes Services extensions to create new clusters without leaving the editor. Once your cluster is created, you can deploy the app manifest using GitHub Copilot for Azure.

Check out the video below to see the prompts Dan used and the helpful responses returned by GitHub Copilot for Azure.

You have now seen the essential features of GitHub Copilot for Azure. Now we want to hear from you! Download and try the extension from the VS Code Marketplace. https://aka.ms/GetGitHubCopilotForAzure

To learn more about the new GitHub Copilot extension for Azure, check out: Streamline your Azure workflow: Introducing GitHub Copilot for Azure in VS Code Blog post.





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