Join us to learn how to use new AI-driven tools to streamline the Java app modernization process. Discover how AI facilitates key stages such as app assessment, planning strategies, and automated code improvements, resulting in a smoother Azure migration. Moreover, you will explore how to embed intelligent capabilities seamlessly into your Java workloads using Spring AI and LangChain4j to effortlessly deploy, run, and enhance your Java applications on Azure.

To learn more, please check out these resources:
aka.ms/build25/plan/LearnJavaSkilling


𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
Timothy Ng
Julien Dubois


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 build.microsoft.com/

BRK131 | English (US) | Developer Tools & .NET


#MSBuild

Chapters:
0:00 - Overview of Developers' Time Allocation
00:01:54 - Focus on AI-assisted Modernization and Migration
00:07:21 - Details on Java Upgrade Using Copilot
00:32:32 - User Confirmation and Good Font Importance
00:34:46 - MCP Servers Enhancing LLM Capabilities
00:35:06 - Hands-on Demo of LLM Interacting with Azure Resources
00:47:36 - Favorite Deployment Methods on Azure
00:48:33 - Deployment to Cortana Apps
00:53:15 - Discussing Repository Access