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Tus Revisiones de Código AI Están Perdiendo el Punto (Y Cómo Solucionarlo)

Yishai Beeri
Yishai Beeri
LinearB
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Las revisiones de código AI a menudo se sienten como lanzar una moneda. Cara - obtienes interminables críticas sobre el estilo. Cruz - encuentra problemas reales. Y incluso cuando la señal es buena, ¿realmente estamos obteniendo beneficios de calidad y productividad?

El secreto no es el AI, es cómo lo estamos implementando. Esta charla explora lo que realmente impulsa el valor en las revisiones de código asistidas por AI: integración contextual rica, especialización escalable e impacto medible en la productividad del desarrollador. Aprende a transformar las revisiones AI de una casilla de verificación de cumplimiento en una ventaja estratégica para tu organización de ingeniería.

This talk has been presented at AI Coding Summit 2026, check out the latest edition of this Tech Conference.

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Yishai Beeri
Yishai Beeri
25 min
26 Feb, 2026

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Video Summary and Transcription
Ishai, CTO en LearnrB, discute la evolución e impacto de las revisiones de código AI en el desarrollo de software. Se destaca la transición de la experimentación a la madurez con agentes AI autónomos en las revisiones de código. Se discuten los desafíos en la creación y revisión de código impulsados por AI, así como los beneficios de las revisiones de código AI para la productividad y eficiencia. Se enfatizan los errores comunes y desafíos en la adopción de revisiones de código AI, junto con la importancia de adaptar los procesos para los avances de AI. También se explora la importancia de mejorar los procesos de revisión de código AI, medir su impacto y aprovechar AI para métricas de productividad.
Available in English: Your AI Code Reviews Are Missing the Point (And How to Fix It)
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