Citing:

“It may accelerate parts of the journey.

But when your Oracle Forms application controls financial reconciliation, inventory, payroll, compliance, or mission-critical operations, “plausible code” is not good enough.

That is the real issue with AI-led migration.

Oracle Forms is not just screens.
It is triggers, state, navigation, validations, transactions, implicit behavior, and business rules accumulated over 20+ years...”*

*Source. If you want read more:
https://www.linkedin.com/posts/renaps_why-ai-tools-dramatically-increase-the-risks-activity-7458283479462531072-zh6C/

RF21′ comment:

While the assessment indicating a sharp increase in risk from the uncritical use of AI in migration projects is highly accurate, merely highlighting these threats does not solve the challenges facing IT departments. The root cause of errors is not AI technology itself, but rather the LLMs’ lack of access to a reliable, multi-layered dependency map and legacy code metadata. Generic tools attempt to guess the intent of the original developers, whereas mission-critical enterprise systems demand absolute logic fidelity and operational precision. Secure automation becomes feasible only when AI assistants are supplied with a structural system graph, thereby eliminating the risk of source code misinterpretation. Only by combining rigorous static analysis with automated runtime regression testing can organizations completely control the blast radius of introduced changes. Instead of fearing innovation, the key is to shift from a probabilistic approach to precise, engineering-grade automation that guarantees absolute business consistency.