AzureKeynote

Next Generation AI-Driven Software Development with the Microsoft Cloud

By leveraging AI algorithms and machine learning models, developers can automate repetitive tasks, optimize code quality, and accelerate the development lifecycle.

This entry is part 1 of 4 in the series Ai-Powered DevOps on Azure

Artificial intelligence is revolutionizing the way software is built, tested, and deployed.

By leveraging AI algorithms and machine learning models, developers can automate repetitive tasks, optimize code quality, and accelerate the development lifecycle.

Microsoft’s AI tools provide intelligent insights, predictive analytics, and automated recommendations to help developers make informed decisions and write more efficient code.

In the feature video Scott Guthrie, EVP Cloud + AI, discusses how Microsoft is making AI innovation real for developers today with experiences like GitHub Copilot, Azure OpenAI Service, and the Microsoft Cloud platform and tools you need to produce next-gen, AI-infused applications.

Central to the talk is GitHub Copilot, an AI-powered code completion tool developed by GitHub in collaboration with OpenAI. It aims to assist developers in writing code more efficiently by providing intelligent suggestions and automating repetitive tasks, helping you write code faster by suggesting code snippets and completing code.

Build better software, faster

Github Copilot is a powerful tool that enhances developer productivity, reduces coding errors, and accelerates the software development process through its AI-driven code completion capabilities.

In this talk Damian Brady and Rizel Scarlett dive deeper to show you how to take full advantage of GitHub Copilot alongside Codespaces to increase your inner-loop productivity, digging into how Copilot works to help you understand how best to prompt it to provide the help you want. They also share other tips and best practices to help you more easily maintain legacy codebases, not just how to create new code blazingly fast.

All In One Platform

This case study video shares General Motors story of improving developer productivity through the use of GitHub Copilot, Dev Box, and Azure Deployment Environments.

Their strategic context is the same for all enterprises today: To stay competitive they need to pioneer a portfolio of new product innovations, and to achieve this they need to on-board and make productive new developers quickly.

Microsoft’s Developer Cloud provides them the all-in-one solution needed to support this process. GM has 400+ developers now using Copilot, where it generates sample code that ‘gets them 98% of the way there’, freeing them up to focus on the key quality innovations.

Dev Box enables them to fast-track new developers so they are ready to start coding within a day. Each can be configured with the right permutation of tools needed for a project, and developers can be assigned multiple Dev Boxes if their work requires it. Azure Deployment then enables them to easily spin up test environments once they are ready to progress their code through to production.

Series NavigationIntroducing a New Era of AI-Generated Low-code App Development with Power Platform >>

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