Fair points all around. To be transparent: yes, I used an AI coding assistant (Antigravity) to help with the heavy lifting of refactoring the original legacy code and drafting the README. I’m with @rustyhancock on this—I’d rather focus my brainpower on the pipeline logic and hardware integration than on writing boilerplate and Markdown.

However, orchestrating things like decord with CUDA kernels, managing VRAM across parallel processes, and getting audio sync right with local TTS requires a deep understanding of the stack. An LLM can help write a function, but it won't solve the architectural 'glue' needed to make it a reliable CLI tool.

The project is open-source precisely because it’s a work in progress. It needs the 'human touch' for things like the RT-DETR auto-zoom and more nuanced video editing logic. PRs are more than welcome—I'd love to see where the community can push this beyond its current state.