Julia Kordick
Migrating from COBOL with AI: A Moonshot Demo
#1about 2 minutes
Introducing an open source AI project for COBOL migration
A multi-agent AI framework developed with Bankdata modernizes their 17 million lines of COBOL to reduce costs and dependencies.
#2about 1 minute
How to set up and run the migration demo
The migration process is initiated by configuring an AI endpoint, adding COBOL source files, and running a single Docker command.
#3about 2 minutes
Understanding the multi-agent analysis and dependency mapping
AI agents perform reverse engineering on COBOL files and map complex, multi-level call chains and dependencies using GOTO commands.
#4about 1 minute
Orchestrating the migration with semantic kernel and logging
The process uses Semantic Kernel for robust agent orchestration and generates logs and markdown files to ensure resilience and traceability.
#5about 1 minute
Building a flexible source and target agnostic framework
The framework is designed to be adaptable beyond COBOL to Java by changing agent personas through prompting for different source or target languages.
#6about 1 minute
Reviewing the generated Java code and migration artifacts
The final output includes markdown reports, mermaid diagrams for visualization, and fully generated, modern Java code from the original COBOL.
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