fargv: Rethinking CLI Arguments for Cleaner ML Prototyping

ML developers often spend more time writing argparse boilerplate than actual training logic, leading to configuration debt that slows down research. fargv solves this by treating hardcoded variable dictionaries as the primary source of truth for CLI overrides, prioritizing code legibility and rapid experimentation over complex decorators.