Modernization at Scale with the CLI and CI/CD Pipelines
Skills:
AI Pair Programming80%
Modernizing one app in the IDE is powerful — but what about dozens or hundreds of repositories? In this episode, learn how to shift the same GitHub Copilot modernization workflow into the terminal using the CLI, delegate work to cloud coding agents that run in parallel, and get back reviewable artifacts (assessment reports, upgrade plans, diffs, and pull requests) on GitHub.
In this episode, you'll learn:
→ How to use the GitHub Copilot CLI modernize command to scan and modernize multiple repositories at once
→ How to delegate assessment and upgrade work to cloud coding agents that run in parallel
→ How to review consolidated assessment reports across multiple repos — blockers, upgrade needs, and technology distribution
→ How agents generate upgrade plans, apply changes, and produce pull requests you review like any other code change
→ How CLI-based modernization fits into CI/CD pipelines, scheduled jobs, and batch runs across your entire portfolio
→ Why modernization becomes continuous maintenance — not a one-off project — when it's scriptable and repeatable
📺 This is Episode 7 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 CLI: https://aka.ms/GHCPMod-Java
👤 Presented by Ayan Gupta, Java & AI Advocate, Microsoft
Java #GitHubCopilot #CLI #CICD #ModernizationAtScale #CloudCodingAgents #JavaModernization #DevOps #GitHub #EnterpriseJava
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