COBOL Modernization with AI Software Engineering

The Federal government spends $100 billion annually on IT: nearly 80% of it maintaining existing systems rather than building new ones. Despite modernization mandates, COBOL systems built decades ago still run mission-critical operations — payroll, benefits, financial management. Traditional approaches stall, however, because manual rewrites take years, cost millions and compete for a shrinking pool of COBOL developers aging out of the workforce.

Join Cognition AI for a webinar showcasing how Devin, the world's first fully autonomous AI software engineer changes this equation for federal agencies by completing migrations 5–40x faster, delivering 8x engineering time efficiency and running hundreds of modernization tasks in parallel, turning what used to be multi-year, high-risk programs into compressed, validated, auditable outcomes. 

And always with Federal teams in-the-loop, empowered for decisions and deployment using model-agnostic solutions that route tasks to the most efficient, effective and compliant LLM available.

In this session, attendees will learn how to:

• Understand and document legacy COBOL systems in plain English — a proven approach relied on by agencies, Fortune 500 companies and industries to document over 1 million repositories, and maps business logic 5–40x faster than manual review.
• Translate COBOL into modern languages like Java, Python or C# — completing migrations 5–40x faster than traditional engineering approaches.
• Automatically validate modernized code against the original, remediating 70–90% of vulnerabilities and reducing migration risk at every step.

Attendees will also experience live demonstrations on real-world COBOL examples using Devin, Cognition's model-agnostic AI software engineer, performing modernization workflows end to end.

Register now to learn how AI can help accelerate your agency’s modernization initiatives while reducing risk, cost and operational disruption.