Show HN: Huzzah – a novel approach to coding with AI

In early 2026, software engineers experienced a remarkable period. Coding agents became proficient, obviating the need for manual code writing. However, after an initial thrill, a sense of fatigue settled in. In August, the author feels drained and weary of composing lengthy English descriptions for every desired code change. Yet, the prospect of returning to manually writing all code is equally unappealing.

The author seeks a middle ground where they can have confidence in the quality and reliability of their software, while maintaining a positive outlook on their professional skills.

The author is developing an experimental editor named Huzzah, which offers an alternative approach to working with large language models (LLMs). Traditional coding agents generate prompts that are lengthy, imperative, and temporary. Huzzah, on the other hand, employs pseudocode, declarative prompts, and persistent interactions. This paradigm shift aims to enhance the coding experience by reducing fatigue and increasing control over the AI's output.

To illustrate the concept, consider creating Fizz Buzz using two different methods: coding agents and Huzzah. In the coding agent approach, you would engage in a chat, first instructing the AI to create the function, then making incremental edits by sending follow-up messages. Each edit would result in a new version of the code.

In Huzzah, you start by writing pseudocode in a file named fizz_buzz.hz. Once satisfied, Huzzah automatically generates the actual code from the pseudocode. If modifications are needed, you simply update the pseudocode file, and Huzzah captures the differences and uses them as input to the LLM to regenerate the affected code.

Huzzah claims several benefits over traditional coding agents. The pseudocode used in Huzzah is more concise and readable compared to the lengthy prompts required by coding agents. The declarative nature of Huzzah prompts also improves clarity and intent. Furthermore, persistent interactions allow for straightforward modifications and instant regeneration of code.

However, it is essential to note that Huzzah is still in the experimental stage, and the source code is available for those interested in exploring its functionality.