Daniel Vaughn's Show HN post (HN score 193) diagnoses three problems with coding-agent chats: (1) prompts are discarded so there is no reliable record of human intent; (2) imperative step-by-step instructions describe changes rather than the application and repeat token spend; (3) natural language is information-sparse. Huzzah inverts this: prompts become pseudocode files (fizz_buzz.hz), declarative and persistent, while the LLM incrementally fills in the implementation. The essay walks through a fizz-buzz comparison between chat-driven agents and the .hz pseudocode paradigm, with a demo video. Positioning: an early experiment in restoring a central authority for what the human wants, aimed at engineers fatigued by longform prompting.
Source: https://www.danielvaughn.dev/posts/huzzah/