Sarcouncil Journal of Engineering and Computer Sciences

Abstract: This article explores the transformative potential of AI-enhanced modernization approaches for legacy systems, focusing on integrating artificial intelligence with established architectural patterns like the Strangler Pattern. It shows how enterprises can systematically transition from monolithic architectures to modern, adaptable systems while maintaining operational continuity. The article outlines AI-augmented dependency management techniques that provide unprecedented visibility into complex system relationships, enabling more precise modernization planning and risk mitigation. It further shows infrastructure modernization foundations, including container orchestration, service mesh implementation, and integration patterns for hybrid architectures, which create a stable platform for incremental transformation. The article culminates in exploring cognitive microservices as the next evolution in system architecture. It incorporates machine learning capabilities into modular components that can learn, adapt, and eventually self-heal in response to changing conditions. This represents a paradigm shift from reactive to proactive operations in enterprise IT environments.