This study explores the optimization of louvre facade configurations for west-facing office units in Surabaya’s tropical climate, focusing on enhancing thermal comfort and daylighting performance. Using generative design integrated with Rhinoceros, Grasshopper, Honeybee, and Ladybug, various louvre angles and spacing combinations were simulated and analyzed based on key metrics: Glare Autonomy (GA), Illuminance, and Thermal Comfort Percentage (TCP). Results show that configurations with steeper angles (45°–60°) and tighter spacing (0.4–0.5 m) significantly reduce glare and heat gain, but at the expense of daylight availability. Conversely, flatter angles (0°–30°) increase natural light but compromise comfort. A 45° angle with 0.5 m spacing offers the most repetitive configuration, being able to achieve an average illuminance of 173 lux at 10:00, an average of 95% thermal comfort percentage, an average illuminance of 251 lux at 14:00, and an average glare autonomy of 92.86%, while using a configuration of spacing between 0.25 - 0.40 m and angle of 0° - 25° is also an alternative to achieve a balanced performance. The study highlights the potential of data-driven generative design in creating adaptive, energy-efficient facades suitable for tropical urban settings.