COBOL, IA y la democratización del conocimiento técnico

Durante décadas, COBOL fue el corazón de muchos sistemas críticos del mundo: banca, seguros, aerolíneas y gobierno. No porque fuera el único lenguaje capaz de resolver esos problemas, sino porque e...

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Source: dev.to

Durante décadas, COBOL fue el corazón de muchos sistemas críticos del mundo: banca, seguros, aerolíneas y gobierno. No porque fuera el único lenguaje capaz de resolver esos problemas, sino porque estaba profundamente integrado con el ecosistema de mainframes, donde gran parte del conocimiento técnico estaba concentrado en pocos lugares. Aprender COBOL en serio significaba, muchas veces: trabajar dentro de una gran organización, acceder a entornos mainframe, o aprender de consultores especializados. El conocimiento estaba ahí, pero no era fácilmente accesible. Durante muchos años, ese modelo funcionó. La tecnología y el conocimiento estaban controlados por un ecosistema relativamente cerrado. Hoy el panorama es muy distinto. Con la aparición de herramientas abiertas, documentación pública y ahora inteligencia artificial, entender sistemas heredados o incluso escribir código COBOL ya no requiere acceso a un mainframe corporativo. De hecho, hoy puedes programar COBOL desde tu laptop con L

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