This talk presents the engineering practices behind DM0.5, OpenDM, and Dexbotic across the complete VLA lifecycle. It covers heterogeneous robot data, reproducible training, scalable evaluation, low-latency inference, and the infrastructure needed to build efficient, reliable, and extensible embodied-AI systems.