Gen AI: Streamlining Mainframe Development with Automated Code Explanation and Comments Generation
Project and Program:
New and Innovative Technologies,
Machine Learning/AI,
DevOps
Tags:
Proceedings ,
SHARE Kansas City 2024
Onboarding junior mainframe developers poses multifaceted challenges. They must
navigate extensive, diverse codebases authored over the years, with varying
styles, practices, and documentation levels. Departures of original authors and
impending retirements exacerbate this challenge. Senior developers invest
significant time in guiding newer developers, conducting code reviews, and
enforcing standards, particularly in distributed teams. From a managerial
perspective, onboarding is costly and affects senior developer productivity and
team velocity with added concerns about regressions and bugs introduced by
junior developers. Generative AI offers a groundbreaking alternative in the
mainframe development process by enabling contextual code analysis, automating
explanations, and integrating comments and code documentation seamlessly. This
technical session explores the utilization of Gen AI, streamlining code
explanation while ensuring codebase security. We'll also share insights and
experiences from Alpha and Beta users who are leveraging Gen AI to streamline
their Agile development journey. Attendees will learn: - How Generative AI
revolutionizes mainframe application development, enabling comprehensive code
analysis and automating explanations. - Insights into enhancing team
productivity and velocity by leveraging Generative AI for code understanding and
documentation. - The significant time and cost savings achieved through
streamlined onboarding of junior developers. - Strategies for seamlessly
integrating comments and code documentation into the development process using
Generative AI.
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