Code modernization tools help organizations transform legacy applications from outdated codebases, obsolete architectures, and aging platforms into modern, high-performing, and …

Legacy software modernization refers to the process of upgrading outdated applications, infrastructure, and workflows to improve efficiency, security, and scalability. This process may …

Need to find business logic scattered across 47 different implementations and document exactly how they differ, AI is there for you. Pattern recognition at scale: Beyond mapping …

One of the key strategies for modernizing legacy code is utilizing automation tools. These tools can help streamline the process of refactoring code, making it easier and faster to update …

Modernize legacy IBM i code with AI-powered tools that retain core business logic, reduce risk, and transform RPG, COBOL, or Synon apps without disruption.

Discover the most effective strategies, tools, and best practices for legacy application modernization. Learn how to modernize your legacy systems while minimizing risks and …

Refactoring legacy code is the process of improving the structure of an old or unfamiliar code without changing its functionality. The idea is to clean up lines of complex codes so you can …

Legacy modernization replaces outdated systems with scalable, secure solutions. Learn key strategies, avoid pitfalls and leverage AI to cut risk and cost.

In this blog, we explore five powerful ways AI is driving seamless legacy code modernization. Whether you’re a CTO planning a system overhaul or a developer grappling with archaic code, …

Legacy modernization begins with assessing current systems to plan upgrades, followed by prioritizing scalable, interoperable solutions for seamless connectivity. Organizations then …