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

Microsoft Developer

A walkthrough of using GitHub Copilot's app modernization extension to assess a legacy Java monolith (built with Struts, Java 1.5, JSPs) for cloud migration. The demo shows how Copilot scans a project, runs 286 static analysis rules, and produces a dashboard report identifying cloud readiness issues, Java upgrade gaps, and tech debt — turning weeks of manual assessment into hours. The tool categorizes risks, highlights Microsoft-provided solutions, and enables custom repeatable workflows for modernization planning.

Assess Java Applications for Cloud Migration and Modernization