TL;DR
The article discusses the challenges of using AI coding agents to develop applications for NVIDIA's Jetson platform, particularly when building projects like a vehicle-speed detector. Often, coding agents provide generic commands that can lead to unexpected failures due to the unique hardware environment of Jetson devices. Problems can arise from using CPU-only libraries, mismatches in software versions, and varying memory availability based on the specific Jetson model and its configuration.