EPAM leveraged Amazon Q Developer to modernize business-critical Java 8 applications with Oracle Database backends into AWS cloud-native architectures. The AI code assistant integrated into development pipelines to generate new features, automate language upgrades, refactor legacy code, fix bugs, and automate deployments. The tool provided detailed explanations for code suggestions while maintaining quality standards, improving developer efficiency across the software development lifecycle and yielding substantial time and effort savings. The modernization targeted applications supporting multiple product segments including nutrition, health and beauty, home care, and personal care. Engineers used the tool to implement microservices, document code, test, review, and refactor Java code autonomously.
Legacy code modernization presents significant challenges for organizations looking to stay competitive in today's rapidly evolving digital landscape. Organizations face the dual challenge of maintaining business continuity while modernizing their legacy systems for cloud environments. This transformation requires organizations to carefully navigate between preserving essential business logic and implementing modern architectural patterns. This is where AI-powered development tools can make a transformative impact, as demonstrated in EPAM's recent legacy modernization project using Amazon Q Developer.
Amazon Q Developer, an AI code assistant, seamlessly integrates into the development pipeline to address these challenges. This innovative AI code assistant helps teams tackle various tasks, from generating new features, automating language upgrades, and refactoring legacy code to fixing bugs and automating deployments. By providing detailed explanations for its code suggestions while maintaining high quality standards, Amazon Q Developer significantly improves developer efficiency across the entire software development lifecycle, resulting in substantial time and effort savings.
EPAM, an AWS Premier Partner, collaborated with one of the largest privately held companies in the direct-selling industry to modernize their legacy applications to AWS Cloud. The modernization initiative focused on multiple business-critical applications, primarily built in Java 8 with Oracle Database backend, that serve as the backbone for the client's operations across multiple product segments including nutrition, health and beauty, home care, and personal care.
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