Java Application Modernization - Series Introduction
Ayan Gupta introduces the Modernize Java Apps with AI video series, focused on upgrading and modernizing legacy Java applications using GitHub Copilot as an AI-assisted engineering workflow.
Overview
The episode frames Java modernization as a practical requirement for AI readiness and cloud adoption, and positions GitHub Copilot (including agentic capabilities) as a way to make modernization more structured and less manual.
The four-phase modernization loop
The series is organized around a repeatable loop:
- Assess
- Upgrade
- Migrate
- Test & Deploy
How GitHub Copilot fits into modernization work
The video highlights using GitHub Copilot agents to help automate or accelerate repetitive modernization tasks, including:
- Updating frameworks
- Updating dependencies
- Addressing known vulnerabilities (CVEs)
- Containerization work to support modern deployment targets
Portfolio assessment and workflow integration
The introduction calls out portfolio assessment tooling and how it can connect into developer workflows:
- Azure Migrate
- Cast
- Doctor Migrate
It also mentions connecting assessment outputs into day-to-day engineering execution via GitHub Issues.
What the series covers
This is Episode 0 of a 9-part series, with short episodes (about 5–7 minutes each) that cover focused steps in the modernization journey.
Links
- 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