Modernize Java Apps with AI: Upgrade & Migrate your Applications

From the creator

In this transformative episode, Ayan Gupta demonstrates how AI is revolutionizing the way we modernize legacy Java applications. Just like updating an old logo while keeping the flavor, modernization is about giving your applications new life without throwing everything away. And now, with GitHub Copilot's new App Modernization tool, this process has become dramatically faster and more reliable. This session tackles one of the most painful problems in enterprise development: modernizing legacy Java applications and migrating them to the cloud. Whether you're upgrading your Java runtime, migrating databases, or moving from AWS to Azure, modernization projects traditionally take weeks or months of manual effort, and are prone to errors at every step. Using the Asset Manager application as a real-world example (a production-like system running Java 7 with AWS S3, PostgreSQL, RabbitMQ, and Spring Boot), Ayan shows you how the GitHub Copilot App Modernization tool uses agent mode to handle the entire upgrade process. You'll see how it automatically analyzes your project to identify upgrade issues and security vulnerabilities, generates a comprehensive upgrade plan for review, applies changes using tools like OpenRewrite recipes, enters a fix-and-test loop to resolve build errors, and validates security with automated CVE scanning. The demonstration upgrades the application from Java 7 to Java 21, fixing deprecated dependencies, updating frameworks, and resolving security vulner

Published 2025-11-01 · Watch on YouTube ↗
Availability and playback restrictions are controlled by the original channel.