Unlocking Legacy Systems: Modernizing COBOL with AI
In the rapidly evolving tech landscape, COBOL, a 65-year-old programming language, isn’t fading away—it’s at the heart of critical systems like banking and insurance. The challenge lies in modernizing outdated code without extensive COBOL expertise. Julia Kordick, Microsoft Global Black Belt, shares a groundbreaking approach using AI to bridge this gap.
Key Insights:
- AI Revolution: Leverage GitHub Copilot to dissect and understand legacy code.
- Three-Step Framework:
- Code Preparation: Reverse engineer existing code for clarity.
- Enrichment: Add context to aid AI understanding.
- Automation Aids: Streamline modernization with specialized agents.
Why It Matters:
- Preserve intellectual property while retaining control over modernization.
- Engage with AI as a tool, augmenting developer skills rather than replacing them.
Are you ready to tackle legacy systems? Start your journey today with GitHub Copilot and share your findings. Tag me on LinkedIn with your insights! 🌟
