Stream: Virtual Room 4
Time: 13:45 - 14:30
Documenting a large codebases has historically meant months of manual analysis. This session walks through how we built AI agents that ingest mainframe artifacts — source code, JCL, copybooks, dependency chains, SMF data — and generate structured technical documentation and business logic maps automatically. We'll cover the architecture, where the agents struggle, and how human-in-the-loop validation keeps outputs production-quality.
CEO of Gestell - Legacy Systems Harmonization
I am passionate about using my background in Data Engineering and AI to do cool stuff on the mainframe!
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