TelecomunicacionesIngeniería de Software

Cómo Cisco Ahorra Más de 1.500 Horas de Ingeniería al Mes con OpenAI Codex

CCiscoFuente: OPENAI ↗enero de 2026

Cisco incorporó OpenAI Codex a sus flujos de trabajo de ingeniería en producción, logrando compilaciones un 20% más rápidas, un rendimiento de resolución de defectos 10-15 veces mayor y un ahorro de más de 1.500 horas de ingeniería al mes.

Impacto

1,500+

Horas de Ingeniería Ahorradas Mensualmente

~20%

Reducción del Tiempo de Compilación

10-15x increase

Rendimiento de Resolución de Defectos

Weeks to days

Velocidad de Migración de Frameworks

Desafío

Necesitaba integrar IA en sistemas de software complejos y críticos con estrictos requisitos de seguridad, cumplimiento y gobernanza.

Solución

Integró OpenAI Codex en los pipelines de producción para sistemas con múltiples repositorios, bases de código en C/C++ y bucles autónomos de compilación-prueba-corrección.

Herramientas y tecnologías

OCOpenAI CodexDeveloper Tools

Lo que dicen los líderes

“Las mayores ganancias llegaron cuando dejamos de pensar en Codex como una herramienta y empezamos a tratarlo como parte del equipo.”

Ryan Brady, Ingeniero Principal, Grupo Cisco Splunk
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Historia completa

Cisco necesitaba integrar capacidades avanzadas de IA en sistemas de software complejos y críticos que operan en entornos de producción exigentes con estrictos requisitos de seguridad, cumplimiento y gobernanza.

Cisco integró OpenAI Codex directamente en los flujos de trabajo de ingeniería en producción, incorporándolo a los pipelines de desarrollo existentes para gestionar sistemas de múltiples repositorios, bases de código con gran presencia de C/C++ y bucles autónomos de compilación-prueba-corrección.

Los resultados: aproximadamente un 20% de reducción en los tiempos de compilación, más de 1.500 horas de ingeniería ahorradas al mes en entornos globales, un incremento de 10-15 veces en el rendimiento de resolución de defectos, y migraciones de frameworks comprimidas de semanas a días.

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