AI development with VS Code for the Web | DEM513

Run, debug and deploy an application from your browser with VS Code. Leverage VS Code for the Web to set up an environment that's ready to build AI applications. With GitHub Copilot and new VS Code extensions, you can seamlessly integrate AI models, develop and debug your app, and deploy it to Azure. To learn more, please check out these resources: * https://aka.ms/build25/plan/AAI_DevAppGitHubCop_Plan * https://aka.ms/AIToolsPack * https://vscode.dev/Azure * https://aka.ms/AIDevTools/Build2025 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Meera Haridasa 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com DEM513 | English (US) | Developer Tools & .NET Related Sessions: BRK117 -- https://build.microsoft.com/sessions/BRK117?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2 BRK118 -- https://build.microsoft.com/sessions/BRK118?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2 BRK154 -- https://build.microsoft.com/sessions/BRK154?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2 #MSBuild Chapters: 0:00 - The Growing Need for Safe and Lightweight Development Environments 00:01:39 - Benefits of Using Slash Azure for Web-Based Development and Deployment 00:01:57 - Backend Integration and Seamless Transition with Azure Cloud Shell 00:03:06 - GitHub Integration 00:03:42 - Partnerships and Azure AI Foundry Introduction 00:05:40 - Changing Agent's Speaking Tone 00:06:42 - One-Click Setup Completion 00:07:28 - Initiating Integration into Web App 00:10:41 - End-to-end application development workflow