“Modernizing a COBOL system once required armies of consultants spending years mapping workflows… AI changes this,” the company said in a

Modernizing legacy COBOL systems has long been a costly and labor-intensive process that requires extensive human effort, as traditionally, teams of consultants spent months or even years mapping workflows, documenting dependencies, and untangling decades of accumulated business logic.

Hundreds of billions of lines of COBOL still run in production worldwide, powering critical systems in banking, government, and airlines, yet finding developers with the knowledge to interpret these systems has become increasingly difficult.

Now, however, Anthropic is looking to supplant this, with its Claude AI platform aiming to take much of the heavy lifting away from human workloads.

How AI aids code exploration and analysis

This scarcity of expertise ...