Assess Java Applications for Cloud Migration and Modernization

The hardest part of modernizing a legacy Java app isn't writing code — it's figuring out where to start. In this episode, learn how to use the GitHub Copilot app modernization extension to run an AI-powered assessment on a legacy Java application, turning uncertainty into a clear, actionable modernization plan in minutes instead of weeks. In this episode, you'll learn: → How to get a bird's-eye view of a legacy Java codebase using GitHub Copilot → How the app modernization assessment uses static analysis and rule-based inspection under the hood → How to read the "Mission Control" dashboard — cloud readiness issues, Java upgrade issues, CVEs, and coverage → How to create custom modernization tasks for edge cases the tool doesn't cover out of the box → How to go from "this looks scary" to a categorized view of risk, effort, and a clear path forward 📺 This is Episode 1 of the Modernize Java Apps with AI series — a 9-part, hands-on guide to upgrading legacy Java applications using GitHub Copilot. 🔗 Series playlist:https://www.youtube.com/playlist?list=PLlrxD0HtieHhaBJWlcxGd-kTDikSD4xyD 🔗 GitHub Copilot Modernization extension: https://aka.ms/GHCPMod-Java 👤 Presented by Ayan Gupta, Java & AI Advocate, Microsoft Java #GitHubCopilot #JavaModernization #LegacyCode #CloudMigration #Azure #ApplicationAssessment #TechDebt #AI #EnterpriseJava