Agentic AI for Java Modernization

Turning modernization from a one-time project into a continuous operation

Enterprise Java applications are critical to business operations. Yet rising pressure to upgrade runtimes, reduce technical debt, improve security and prepare for cloud-native and AI-enabled models makes modernization challenging at scale.

IBM's agentic AI approach to Java modernization takes a different model. Rather than focusing only on code generation, it helps teams analyze systems, coordinate multi-step workflows and validate change within defined governance boundaries, enabling modernization as a continuous capability rather than a one-time migration.

In this white paper, you will learn how to:

  • Evaluate the complexity and risk of your Java application portfolio
  • Reduce the time and cost of Java version upgrades
  • Proactively identify and remediate security vulnerabilities
  • Govern modernization at scale across the enterprise

Register for the white paper