Pixie-prompts – manage LLM prompt templates like code

Hacker News

How existing prompt management solutions work bothers me, it seems to go against programming best practices: the prompt templates are stored in completely separate system from its dependencies, and there’s no interface definitions for using them. It’s like calling a function (the prompt template) that takes ANY arguments and can silently return crap when the arguments don’t align with its internal implementation. So I made this project according to how I think prompt management should work - strongly typed interface, defined in the code; the prompt templates are co-located in the same codebase as their dependencies; and there’s type-hint and validation for devEx. Doing this also brings additional benefit: because the variables are strong typed at compose time, it’s save to support complex prompt templates with if/else/for control loops with full type safety. I’d love to know whether this resonate with others, or is it just my pet peeve.

Visit product View on Hacker NewsJan 27, 2026

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