We are excited to announce new capabilities for accelerating AWS Mainframe Modernization with machine learning and generative AI assistance. Using the latest generative AI models in Amazon Bedrock and AWS Machine Learning services like Amazon Translate, AWS Blu Insights makes it simple to automatically generate code and file descriptions, transform code from mainframe languages, and query projects using natural language.
Customers can now automatically generate summaries of source code files and snips, making it much easier to understand legacy mainframe applications. If a codebase has comments in languages other than English, with a click on the console, customers can view a translation of the comments into the English language. Blu Insights also makes it much faster to find information within files. Now, customers can filter data in projects using natural language that Blu Insights automatically converts to specific Blu Age queries. Using GenAI, Blu Insights also speeds up common tasks by classifying codebase files that don’t have an extension, converting source files written in languages like Rexx and C, and creating previews of mainframe BMS screens.
Finally, new project management features driven by GenAI simplify project management by taking natural language text like “schedule a meeting” and automating the creation of scheduled events to save time and improve collaboration. Customers can now take advantage of automatically generated Activity Summaries and Activity Audits, which includes the actions taken by AI in a Blu Age project for auditing and compliance purposes.
To learn more, visit AWS Mainframe Modernization service and documentation pages.
Source:: Amazon AWS