Julia Kordick

Migrating from COBOL with AI: A Moonshot Demo

A bank had 17 million lines of COBOL. We built a team of autonomous AI agents to migrate it to Java.

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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From learning to earning

Jobs that call for the skills explored in this talk.

Cobol Entwickler

Cobol Entwickler

softwarebees GmbH
Göttingen, Germany

Intermediate
Senior
GIT
RDBMS
COBOL