Modernizing Legacy COBOL to Cloud with GitHub Copilot
Julia Kordick from Microsoft demonstrates how GitHub Copilot and AI-powered agents streamline COBOL modernization and legacy code migration to the cloud in this presentation.
Modernizing Legacy: COBOL to Cloud with GitHub Copilot
Julia Kordick, Software Global Black Belt at Microsoft, presents a demonstration of how AI-assisted tools such as GitHub Copilot and autonomous agents are revolutionizing large-scale COBOL modernization projects.
What’s Covered
- Live Demo: Migrating legacy COBOL applications to modern environments using AI tools
- Reverse Engineering: Automated analysis of COBOL code to extract business logic and dependencies
- Automated Documentation: Generating rich documentation for legacy systems
- Test Generation: Automatically producing test cases based on existing COBOL logic
- Code Transformation: Converting COBOL code to modern programming languages using AI-based approaches
- Project Repository: Code samples and automation resources available at: Legacy Modernization Agents GitHub Repo
Featured Tools and Technologies
- GitHub Copilot: AI pair programmer accelerating code migration and documentation
- Azure Services: Leveraging Microsoft cloud for deployment and automation
- Autonomous Agents: Specialized AI bots that assist in code transformation and testing tasks
Key Takeaways
- AI tools can significantly reduce the effort needed for legacy code migration
- Automated documentation and test generation ensure higher quality and maintainability
- Code transformation using cloud-based AI platforms accelerates modernization efforts