Don’t Let Technical Debt Stymie Your Java EE Modernization

Java Enterprise Edition (Java EE), once hailed for extending Java's capabilities to enterprise applications, is now considered a legacy technology burdened with technical debt due to its complex monolithic structures and outdated frameworks. Organizations like a Fortune 100 government-sponsored bank and a Fortune 500 financial information firm have struggled to modernize their extensive Java EE applications, facing challenges such as complex interdependencies and obsolete frameworks like Apache Struts 1. Despite having access to detailed data about their systems, these companies found it difficult to navigate the intricacies of their applications until they employed AI-based tools from vFunction. These tools provided clarity and guidance, allowing the organizations to effectively refactor their legacy code by identifying service boundaries, transitioning to modern frameworks like Spring Boot, and removing obsolete dependencies. The modernization process, despite initial skepticism and setbacks, illustrated the potential of AI in overcoming technical debt by providing actionable insights and a roadmap for successful transformation.