Today, AWS announces new generative AI–powered capabilities of Amazon Q Developer in public preview to help customers and partners accelerate large-scale assessment and modernization of mainframe applications.
Amazon Q Developer is enterprise-ready, offering a unified web experience tailored for large-scale modernization, federated identity, and easier collaboration. Keeping you in the loop, Amazon Q Developer agents analyze and document your code base, identify missing assets, decompose monolithic applications into business domains, plan modernization waves, and refactor code. You can chat with Amazon Q Developer in natural language to share high-level transformation objectives, source repository access, and project context. Amazon Q Developer agents autonomously classify and organize application assets and create comprehensive code documentation to understand and expand the knowledge base of your organization. The agents combine goal-driven reasoning using generative AI and modernization expertise to develop modernization plans customized for your code base and transformation objectives. You can then collaboratively review, adjust, and approve the plans through iterative engagement with the agents. Once you approve the proposed plan, Amazon Q Developer agents autonomously refactor the COBOL code into cloud-optimized Java code while preserving business logic.
By delegating tedious tasks to autonomous Amazon Q Developer agents with your review and approvals, you and your team can collaboratively drive faster modernization, larger project scale, and better transformation quality and performance using generative AI large language models. You can enhance governance and compliance by maintaining a well-documented and explainable trail of transformation decisions.
To learn more, read the blog, and visit Amazon Q Developer transformation capabilities webpage and documentation.
Source:: Amazon AWS