Presentation
Exploit AI-assisted Application Development to Reform Complex Mainframe Codebases
Contributors
Event Type
Technical Session
DevOps
Intermediate
TimeWednesday, August 198:00am - 9:00am EDT
LocationRoom 318
DescriptionAI‑assisted development is essential as mainframe codebases are complex and release cycles demand acceleration. Teams need intelligent, integrated capabilities that support the full application lifecycle, from understanding and modernizing code to leveraging editor MCP tools for AI assisted development to validating changes with confidence. AI‑powered developer workflows enable organizations to keep pace without sacrificing quality or reliability.
This session explores an end‑to‑end mainframe developer experience that brings AI‑driven assistance directly into everyday development activities. Attendees will see how these capabilities help analyze and modernize enterprise applications, streamline developer workflows, improve code quality, and reduce risk across the lifecycle. The session also highlights how intelligent, automated validation and testing fit seamlessly into this experience, accelerating feedback loops, improving coverage, and reducing manual effort. It also demonstrates how to unlock the full potential of AI-assisted development by connecting LLMs to VS Code and z/OS extensions. The result is a more productive, confident development team that can modernize mainframe applications faster and at enterprise scale.
This session explores an end‑to‑end mainframe developer experience that brings AI‑driven assistance directly into everyday development activities. Attendees will see how these capabilities help analyze and modernize enterprise applications, streamline developer workflows, improve code quality, and reduce risk across the lifecycle. The session also highlights how intelligent, automated validation and testing fit seamlessly into this experience, accelerating feedback loops, improving coverage, and reducing manual effort. It also demonstrates how to unlock the full potential of AI-assisted development by connecting LLMs to VS Code and z/OS extensions. The result is a more productive, confident development team that can modernize mainframe applications faster and at enterprise scale.