IBM Unveils watsonx Generative AI Capabilities to Accelerate Mainframe Application Modernization

© IBM

IBM today announced watsonx Code Assistant for Z, a new generative AI-assisted product that will help enable faster translation of COBOL to Java on IBM Z and enhances developer productivity on the platform. This product will be generally available in Q4 2023, and is being designed to help accelerate COBOL application modernization. Watsonx Code Assistant for Z will preview during TechXchange,IBM’s premier technical learning event in Las Vegas, Sept 11-13.

Watsonx Code Assistant for Z is a new addition to the watsonx Code Assistant product family, along with IBM watsonx Code Assistant for Red Hat Ansible Lightspeed, scheduled for release later this year. These solutions will be powered by IBM’s watsonx.ai code model, which will have knowledge of 115 coding languages1 having learned from 1.5 trillion tokens.2 At 20 billion parameters, it is on target to become one of the largest generative AI foundation models for code automation.3 The watsonx Code Assistant product portfolio will extend over time to address other programming languages, to improve time to value for modernization and address growing skills challenges for developers.

Watsonx Code Assistant for Z is being designed to assist businesses in leveraging generative AI and automated tooling to accelerate their mainframe application modernization – all with the goal of preserving the performance, security and resiliency capabilities of IBM Z.

AI-assisted mainframe application modernization is an imperative

According to new research from the IBM Institute for Business Value, organizations are 12x more likely to leverage existing mainframe assets rather than rebuild their application estates from scratch in the next two years. At the same time, however, the study shows that the number one challenge for those same organizations is a lack of resources and skills.

There are many application modernization approaches available today. Some options include rewriting all application code in Java, or migrating everything to public cloud, which may sacrifice capabilities that are core to the IBM Z value proposition while failing to deliver on expected cost reduction. Tools that convert COBOL applications to Java syntax can produce code that is hard to maintain and can be unrecognizable to a Java developer. Generative AI is promising, but current AI-assisted partial re-write technology lacks COBOL support and doesn’t optimize the resulting Java code for the given task.

The resulting Java code from watsonx Code Assistant for Z will be object-oriented. IBM is designing this solution to be optimized to interoperate with the rest of the COBOL application, with CICS, IMS, DB2, and other z/OS runtimes. Java on Z is designed to be performance-optimized versus a compared x86 platform.

Source: IBM, Aug 22, 2023
watsonx Code Assistant for Z