IBM 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.
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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.
The COBOL data processing language supports many vital business and operational processes at organizations globally. At scale, using watsonx Code Assistant for Z in comparison to other approaches could make it easier for developers to selectively and incrementally transform COBOL business services into well architected high-quality Java code – with estimated billions of lines of COBOL code as potential candidates for targeted modernization over time. Generative AI can help developers to more quickly assess, update, validate and test the right code, allowing them to more efficiently modernize large applications and focus on higher impact tasks.
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IBM is designing these capabilities to provide tooling for each step of the modernization journey. The solution is expected to include IBM’s Application Discovery and Delivery Intelligence (ADDI) inventory and analysis tool. Following ADDI, key steps on the journey include refactoring business services in COBOL, transforming COBOL code to Java code with an optimized design, and validating the resulting outcome, including using automated testing capabilities. Potential benefits for clients include:
- Accelerating code development and increasing developer productivity throughout the application modernization lifecycle
- Managing total cost, complexity, and risk of application modernization initiatives, including translation and optimization of code in-place on IBM Z
- Expanding access to a broader pool of IT skills and accelerating developer onboarding
- Achieving high quality, easy to maintain code through model customization and the application of best practices
“Our collaboration with IBM is an important element in our drive to leverage generative AI interfaces to challenge legacy approaches with material productivity gains, and reinvent our Capital Markets solutions,” said Roger Burkhardt, CTO, Capital Markets and AI, Broadridge Financial. “We have had excellent client response to our generative AI investments and we are intrigued by the opportunity to further our efforts by leveraging IBM watsonx Code Assistant for Z to address a broader range of platforms.”
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