Upgrade Your Java with AI: From Legacy Code to High-Performance Workloads
summary
Shows an end-to-end workflow that uses AI agents and the ATX CLI to ingest a runtime JFR recording, map hotspots to source, and generate OpenRewrite-style edits that build and test automatically. Claims a real migration from Java 8→17 that halves memory use (50%) and enabled retiring thousands of EC2 instances, plus a live demo that produces ~5x faster hot paths. Requires a runtime JFR file, runs in minutes for cents. ATX CLI Java Flight Recorder (JFR)
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chapters (11)
- 0:00Introduction to Java modernization
- 3:21Modernization approaches overview
- 8:48Using AI for modernization tasks
- 13:07Demo of AI inventory and dependency mapping
- 17:05Code privacy and compliance concerns
- 21:44AWS Transform and custom agents
- 26:09Performance optimization introduction
- 27:15Live demo setup and JFR explanation
- 31:09AI-driven performance fixes workflow
- 40:41Live demo execution and results
- 50:40Key takeaways and call to action
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