COBOL is back, and AI is writing it. Who's verifying the code?

COBOL, a programming language developed in the 1960s, has become a focal point due to its critical role in essential systems and the retirement of experienced COBOL programmers, combined with advancements in AI. Despite being largely phased out of educational curricula, COBOL remains vital, with an estimated $3 trillion of daily commerce depending on it. As AI steps in to address the shortage of skilled COBOL developers, it primarily aids in understanding and translating the old code rather than generating new code. However, the real challenge lies in verifying AI-produced outputs, as subtle errors in AI translations could cause significant issues in high-stakes environments. SonarQube provides a solution by offering a comprehensive verification layer that applies rigorous analysis to COBOL code, whether it's human-written or AI-generated. This ensures that modernization efforts are reliable and trustworthy, highlighting the necessity of a robust verification process in modern software development, especially when dealing with legacy systems like COBOL.

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