IBM watsonx™ Code Assistant for Z is a generative AI-assisted product built to accelerate the mainframe application lifecycle and streamline modernization at lower cost and with less risk than today’s alternatives.
watsonx Code Assistant for Z supports the end-to-end application developer lifecycle with capabilities for application discovery and analysis, code explanation, automated code refactoring, code optimization advice, COBOL to Java transformation, and validation. Developers can automatically refactor selected elements of an application, optimize code to increase performance, and continue modernizing in COBOL. Or, they can transform code to Java with generative AI leveraging a highly tuned state-of-the-art large language model.
watsonx Code Assistant for Z provides the flexibility to deploy its genAI based capabilities either on-premises or as-a-service.
80% time reduction for a developer to understand the application and 30% time reduction for a developer to be able to explain and potentially document code
Capabilities
Accelerate code development and increase developer productivity throughout the application lifecycle.
Lower the total cost and complexity of mainframe application modernization initiatives.
Reduce time to value for application modernization by using automation and AI recommendations.
Provide developers tools to expand their skills and support modernization initiatives.
Maintain mainframe qualities of service and support fit-for-purpose deployment.
Gain access to an out-of-the-box, IBM-trained large language model tuned for COBOL to Java translation.
- Use deep analysis to visualize and assess key programs and dependencies
- Leverage Gen AI to explain and document COBOL and JCL in natural language.
- Gain agility by automatically refactoring into more modular business services.
- Improve COBOL with insights and recommendations for performance improvement.
- Leverage generative AI to transform refactored COBOL code into object-oriented Java code.
- Use automated testing to ensure semantic equivalence between refactored COBOL code and newly transformed Java code.
- Ensure that any COBOL components of your applications are running optimally, following current performance standards, and can work efficiently with your new Java code.
Case study
Westfield sought to integrate generative AI capabilities to support application development and onboarding of new talent.: 80% time reduction for a developer to understand the application and 30% time reduction for a developer to be able to explain and potentially document code
Create truly RESTful APIs to and from your IBM Z mainframe
Unlock new levels of productivity on the IBM Z platform with a generative AI assistant.
Simplify z/OS application testing and accelerate quality goals.
Read more on the availability of watsonx Code Assistant for Red Hat Ansible Lightspeed and watsonx Code Assistant for Z.
Accelerate transformation in your IBM zSystems environment with expert resources, guidance, and capabilities.
Read more on how to achieve application interoperability and modernization at your own rate and pace through IBM watsonx Code Assistant for Z.
Learn the steps to achieve modernization with generative AI, including: start with a platform-centric approach, convert from complexity to simplicity, and prioritize scalability and security.
Understand the importance of adopting generative AI and how it can be beneficial to business practices both now and in the future.
Legal footnote
*IBM watsonx Code Assistant for Z includes an on-prem and as a service component. When the components are purchased together, watsonx Code Assistant for Z includes the referenced generative AI capabilities