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Amazon Web Services (AWS) has unveiled new agentic AI capabilities within AWS Transform, significantly broadening its scope to enable the rapid modernization of any legacy application or codebase at scale. Announced at AWS re:Invent, these enhancements are designed to help enterprises drastically reduce technical debt and redirect valuable resources from maintenance toward strategic innovation.
AWS added new agentic AI capabilities to its AWS Transform modernization service.
The enhanced service can now modernize any legacy software, code, library, or framework.
It accelerates full-stack Windows application modernization by up to 5x.
AWS estimates the service can eliminate up to 70% of associated maintenance and licensing costs.
Customers include Air Canada, Experian, QAD, Teamfront, Thomson Reuters, and Verisk.
The goal is to help enterprises rapidly reduce tech debt to free resources for AI and innovation.
The new agentic capabilities in AWS Transform empower the service to handle a much wider array of legacy systems. Previously focused on specific patterns, the enhanced platform can now undertake rapid, large-scale modernizations across any software, code, library, and framework. This broadened scope makes it a more comprehensive tool for enterprises looking to address accumulated technical debt across their entire application portfolio.
A key highlighted use case is the accelerated modernization of full-stack Windows applications. AWS states that AWS Transform can accelerate these modernizations by up to 5x across all application layers. This rapid transformation directly targets cost reduction, with the potential to eliminate up to 70% of the maintenance and licensing costs typically associated with legacy Windows environments, according to AWS.
The service is already being leveraged by a range of major enterprises to tackle their modernization challenges. Early customers cited include Air Canada, Experian, QAD, Teamfront, Thomson Reuters, and Verisk. Their adoption underscores the pressing need in the market for scalable, automated solutions to modernize legacy code, which often acts as a barrier to adopting new technologies like AI.
The overarching business objective of these enhancements is to enable a faster shift from legacy maintenance to forward-looking innovation. By automating and accelerating the complex process of code and application modernization, AWS Transform aims to help organizations eliminate technical debt more rapidly. This, in turn, frees up critical developer and financial resources that can be reallocated to building new capabilities and realizing the full value of AI.
The introduction of agentic AI into AWS Transform represents a strategic push by AWS to address one of the most persistent hurdles in enterprise IT: legacy system modernization. By applying autonomous AI to this complex task, AWS is providing a scalable pathway for organizations to update their foundational technology stacks. This move not only helps customers reduce costs but also accelerates their ability to build on a modern, AI-ready infrastructure, aligning technical estates with strategic business ambitions.
About AWS
Amazon Web Services (AWS) is guided by customer obsession, pace of innovation, commitment to operational excellence, and long-term thinking. By democratizing technology for nearly two decades and making cloud computing and generative AI accessible to organizations of every size and industry, AWS has built one of the fastest-growing enterprise technology businesses in history. Millions of customers trust AWS to accelerate innovation, transform their businesses, and shape the future. With the most comprehensive AI capabilities and global infrastructure footprint, AWS empowers builders to turn big ideas into reality.
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