"Addressing this widespread issue, CoreStory has introduced an AI-powered code intelligence platform designed to uncover the fundamental insights locked within legacy code. The platform aims to turn these aging codebases from liabilities into strategic assets, enabling enterprises to accelerate software modernization with greater speed, efficiency, and confidence. By scanning millions of lines of code in minutes, CoreStory provides a clear view of an application's architecture, dependencies, and potential modernization paths, functioning much like a real-time MRI for a company's software portfolio."
"CoreStory's platform is engineered to overcome the common limitations of large language models (LLMs) when dealing with massive, complex codebases. It employs a proprietary methodology of recursive decomposition and recomposition, which involves breaking down code into smaller, more manageable units. The platform then rebuilds this information into a complete and validated picture of the entire system. This AI-based approach allows companies to analyze vast amounts of code rapidly; the platform can review 100,000 lines of code in just minutes."
Enterprises face a growing challenge from aging legacy codebases written in COBOL, C, and Java that are brittle, poorly documented, and impede modernization. Organizations often lack historical knowledge of how critical applications were built, forcing lengthy, costly reverse-engineering to understand systems. CoreStory provides an AI-powered code intelligence platform that scans millions of lines quickly to reveal application architecture, dependencies, and modernization options. The platform uses recursive decomposition and recomposition to break code into manageable units and reassemble a validated system-level model. It overcomes LLM limits on scale, enabling analysis of 100,000 lines in minutes and turning legacy systems into strategic assets.
Read at App Developer Magazine
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