How GenAI Agents Are Transforming Legacy Application Modernization

This article explores how Generative AI (GenAI) is revolutionizing legacy application modernization in enterprise environments. Legacy systems, with their outdated technologies and rigid architectures, represent significant technical debt and maintenance burdens for organizations. GenAI-powered agents are emerging as transformative tools that can analyze complex codebases, discover implicit knowledge, recommend customized modernization strategies, and automate code transformation. The article examines core capabilities of these AI agents, including automated code analysis, intelligent strategy formulation, code transformation, and API generation. It presents implementation approaches across assessment, execution, and governance phases, supported by case studies from financial services, healthcare, and manufacturing sectors that demonstrate substantial improvements in modernization speed, cost, and outcomes. As these technologies continue to evolve, they promise to fundamentally reimagine how organizations approach technical debt and enable more adaptive, innovative technology landscapes.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-05-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n366271
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

How GenAI Agents Are Transforming Legacy Application Modernization

Yaman Tandon
European Journal of Computer Science and Information Technology
Big Data and Business Intelligence
article

How GenAI Agents Are Transforming Legacy Application Modernization

Yaman Tandon
article en

Abstract

This article explores how Generative AI (GenAI) is revolutionizing legacy application modernization in enterprise environments. Legacy systems, with their outdated technologies and rigid architectures, represent significant technical debt and maintenance burdens for organizations. GenAI-powered agents are emerging as transformative tools that can analyze complex codebases, discover implicit knowledge, recommend customized modernization strategies, and automate code transformation. The article examines core capabilities of these AI agents, including automated code analysis, intelligent strategy formulation, code transformation, and API generation. It presents implementation approaches across assessment, execution, and governance phases, supported by case studies from financial services, healthcare, and manufacturing sectors that demonstrate substantial improvements in modernization speed, cost, and outcomes. As these technologies continue to evolve, they promise to fundamentally reimagine how organizations approach technical debt and enable more adaptive, innovative technology landscapes.

European Journal of Computer Science and Information TechnologyVol. 13(36)
Openalex Percentile: Top 78%
Big Data and Business Intelligence
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How GenAI Agents Are Transforming Legacy Application Modernization — Yaman Tandon · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS