WINCOBOL versus AI

WINCOBOL, WINIDE, and WINZOS are constructed with human intelligence.

The GnuCOBOL compiler included with WINCOBOL was assembled with human intelligence. GnuCOBOL is comprised of 22,000+ files.

The WINZOS component is "human smart"; it will detect EXEC SQL, EXEC CICS components, and by the magic of human engineering, will preprocess the subsystem components embedded in a COBOL application program. 

In total, there are approximately 900 programs that comprise WINZOS and WINIDE. Both are expert systems. Both are managed by an SPF dialog.

Consider that WINCOBOL simulates/emulates the sophistication of the IBM zOS ecosystem on an x86 Windows operating system.

AI lacks the creativity and entrepreneurial skills to create a WINCOBOL.

AI is incapable of replicating this human-engineered application.

AI does not think. AI does not know the difference between correct and incorrect.

I do not understand the AI hype.

I do understand expert systems built with human intelligence.

A comment posted by Mr. Dung Ly accurately reflects my position better than I originally stated. Kudos to Mr. Ly

Dung Ly

WINCOBOL / WINZOS are classic examples of human-engineered expert systems: deterministic, rule-based, explainable, and grounded in deep domain knowledge.

Detecting and preprocessing EXEC SQL, EXEC CICS, and subsystem constructs is not pattern matching — it requires an understanding of execution context, control flow, and target runtime semantics.

AI models can assist with code generation or analysis, but they do not originate system architecture, operational constraints, or responsibility for correctness.

That’s the fundamental difference between probabilistic models and systems intentionally designed to behave correctly under known constraints.