Grace Hopper's Revenge

The article examines how programming language design significantly impacts AI coding performance, citing AutoCodeBench data showing that structured languages like Elixir, C#, and Kotlin outperform Python and JavaScript despite having far less training data. It draws an analogy to Tesla's vision-based approach to self-driving, arguing that structure and design matter more than sheer volume of data, and suggests that functional paradigms transfer well to LLM-driven coding workflows.