TechnologySoftware Engineering

Cómo Datadog Usa OpenAI Codex para Revisión de Código a Nivel de Sistema con Más de 1.000 Ingenieros

Datadog integró OpenAI Codex en los flujos de revisión de pull requests en vivo, detectando el 22% de los incidentes que superaron la revisión humana y habilitando a más de 1.000 ingenieros con análisis de código a nivel de sistema impulsado por IA.

Impacto

~22%

Incidentes Prevenibles por IA

1,000+

Ingenieros que Usan Codex

Desafío

Necesitaba escalar la revisión de código más allá de los ingenieros senior. Las herramientas de análisis estático eran superficiales y ruidosas, y los desarrolladores frecuentemente las ignoraban.

Solución

Integró OpenAI Codex para la revisión automática de pull requests en los principales repositorios, analizando los cambios de código dentro del contexto más amplio del sistema para detectar riesgos arquitectónicos.

Herramientas y tecnologías

Lo que dicen los líderes

For me, a Codex comment feels like the smartest engineer I have worked with and who has infinite time to find bugs.

Brad Carter, Engineering Manager, AI DevX Lead, Datadog
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Historia completa

Datadog necesitaba escalar la revisión de código más allá de los ingenieros senior que comprenden la arquitectura del sistema y los riesgos interconectados. Las herramientas tradicionales de análisis estático ofrecían sugerencias superficiales y ruidosas que los ingenieros frecuentemente ignoraban.

Datadog integró OpenAI Codex en los flujos de desarrollo en vivo, revisando automáticamente los pull requests en los principales repositorios. El sistema analiza los cambios de código dentro del contexto más amplio del sistema, en lugar de de forma aislada, identificando riesgos que los revisores humanos pasan por alto.

Codex identificó más de 10 casos (aproximadamente el 22% de los incidentes analizados) en los que el feedback de la IA habría prevenido problemas que superaron la revisión humana. Más de 1.000 ingenieros utilizan ahora Codex regularmente para la revisión de código.

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