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Still running legacy Java in production? You’re not alone — and modernization doesn’t have to be a risky, manual grind. In this series introduction, learn how GitHub Copilot transforms Java application modernization from a slow, error-prone process into a structured, AI-assisted engineering workflow.
In this episode, you’ll learn:
→ Why Java modernization is critical for AI readiness and cloud adoption
→ The four-phase modernization loop: Assess → Upgrade → Migrate → Test & Deploy
→ How GitHub Copilot agents automate repetitive modernization tasks — frameworks, dependencies, CVEs, containerization
→ How portfolio assessment tools (Azure Migrate, Cast, Doctor Migrate) connect to developer workflows via GitHub Issues
→ What the full enterprise modernization workflow looks like end to end
📺 This is Episode 0 of the Modernize Java Apps with AI series — a 9-part, hands-on guide to upgrading legacy Java applications using GitHub Copilot. Each episode is 5–7 minutes and covers a focused step in the modernization journey.
🔗 Series playlist: https://www.youtube.com/playlist?list=PLlrxD0HtieHhaBJWlcxGd-kTDikSD4xyD
🔗 GitHub Copilot Modernization extension: https://aka.ms/GHCPMod-Java
🔗 Azure Migrate: https://aka.ms/azuremigrate
👤 Presented by Ayan Gupta, Java & AI Advocate, Microsoft
Java #GitHubCopilot #JavaModernization #LegacyCode #CloudMigration #Azure #SpringBoot #AI #EnterpriseJava #DevOps Read More Microsoft Developer
