The Future of Legacy Applications: A Vision For Mainframe & Midrange Modernization

The ever-increasing demand for modernization, the need to accelerate the digital transformation process, and the limited access to cloud-native and container application-savvy developers have also given rise to the integration of AI—with generative AI most likely to be the next evolution of code development and IT transformation.

The rapid pace of technological change creates several challenges for today’s IT leaders:

• Legacy platform and application technology subject matter experts become scarce, limiting village knowledge of the business and its application functionality.
• The workload for collecting and documenting application portfolio source code—and preparing it for consumption into application understanding and transformation products—requires cumbersome and extensive manual effort.
• The maturity, reliability, and maintainability of AI-generated code is questioned, with consistency and quality depending on the models, knowledge base, processing rules, and experience of the vendors manufacturing the processes and products.

As a leading application understanding and modernization software vendor, AveriSource pays keen attention to client, partner, and market drivers, adjusting research and development priorities, as well as releasing plans to address them. For three decades, AveriSource has enhanced service provider and client capabilities by accelerating application understanding and providing dynamic application documentation via diagrams and reports.

This means expediting application modernization assessments and deeper analysis projects, such as business rule identification, analysis, and extraction. And since 2019, accelerating application transformation, including aiding legacy systems rearchitecture and legacy code generation for rewrite efforts.

What's next on the AveriSource Platform™️ roadmap? Download our white paper below to see how we're transforming the future of mainframe and midrange modernization.