Financial ServicesSoftware Engineering

Cómo ComplyAdvantage Redujo el Tiempo de Desarrollo un 37% con Gemini Code Assist

ComplyAdvantage desplegó Gemini Code Assist en su equipo de ingeniería de 170 personas, logrando un 37% más de velocidad de desarrollo, 100% más solicitudes de fusión por desarrollador y 75% de precisión en la auto-categorización de más de 500 solicitudes de soporte.

Impacto

37%

Reducción del Tiempo de Desarrollo

100% increase

Solicitudes de Fusión por Desarrollador

50% increase

Commits por Desarrollador

75%

Precisión en Auto-Categorización de Soporte

Desafío

Deuda técnica derivada de la transición de startup a scale-up: código heredado sin documentar, fricción en la incorporación de desarrolladores e ingenieros senior bloqueados en tareas repetitivas.

Solución

Desplegó Gemini Code Assist entre 170 ingenieros para generación de código con IA, depuración, escritura de pruebas y categorización de solicitudes de soporte.

Herramientas y tecnologías

Lo que dicen los líderes

In one instance, a developer used Gemini Code Assist to identify the root cause of a customer bug within minutes. This previously would have taken hours.

Jennifer Bursack, Sr Director, Technology Operations, ComplyAdvantage
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Historia completa

ComplyAdvantage, una plataforma de prevención del crimen financiero, se enfrentaba a deuda técnica al escalar de startup a empresa. Los complejos sistemas heredados carecían de documentación, los desarrolladores senior dedicaban tiempo a depuración repetitiva y generación de pruebas, y la incorporación de nuevos miembros al equipo era lenta.

La empresa desplegó Gemini Code Assist comenzando con un piloto de 20 desarrolladores senior en tres centros de desarrollo globales. La herramienta fue elegida por sus garantías de soberanía de datos y compatibilidad multi-nube.

Los resultados fueron notables: el tiempo de desarrollo medio cayó un 37% en el equipo de ingeniería de 170 personas (42% en el grupo piloto), las solicitudes de fusión por desarrollador se duplicaron, los commits por desarrollador aumentaron un 50%, y la herramienta alcanzó un 75% de precisión en la auto-categorización de más de 500 solicitudes de soporte. La identificación de causas raíz pasó de horas a minutos.

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