Unlocking AI's Potential: Strategies For Applying Artificial Intelligence To Legacy And Complex Codebases

Author: Vamsi Katragadda

Journal: SSRN : Social Science Research Network, 2024

Abstract: As organizations strive to modernize their IT infrastructure, legacy and complex codebases present significant challenges. These systems, often outdated and rigid in structure, are integral to many enterprises but are increasingly difficult to maintain and evolve with traditional methods. Artificial Intelligence (AI) offers an opportunity to unlock new potential in managing these systems, providing intelligent guidance, automating routine tasks, and optimizing legacy code. However, applying AI to these legacy systems presents its own unique set of challenges, including poor documentation, outdated technologies, and complex interdependencies. This paper explores the strategies for successfully integrating AI into legacy and complex codebases, focusing on techniques such as code refactoring, AI model customization, hybrid human-AI approaches, and continuous learning. The goal is to provide developers and organizations with a roadmap to harness AI's power in modernizing and maintaining legacy code, ensuring long-term sustainability and efficiency.

Keywords: Code refactoring, Software modernization, AI integration, Legacy codebases, Artificial Intelligence

DOI / Source: https://doi.org/10.2139/ssrn.5150439

License: Creative Commons Attribution 4.0