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Ayush Mongialeft a comment
I have written system prompts myself and mostly they are always a free text, a block of text based on which AI projects function. If someone makes a bad edit to it, production reflects that. And we have no way of finding it but to read the system prompt and understand the semantic impact of that change ourself before fixing it. But what if that system prompt was more like a code? Could be...
PromptxA type system for LLM prompts. Ship with confidence.
A type system for LLM prompts. Define schemas, write behavioural contracts, stress-test with adversarial AI cases or your own ground-truth CSV, and diff fingerprints across versions. Catch prompt regressions before they hit production. Built on Claude Code. No API keys. No dependencies.
PromptxA type system for LLM prompts. Ship with confidence.
Ayush Mongialeft a comment
Impressive! I showed this to a couple of friends and it was cool to tinker with this. Would love to have advanced filtering options but this is dope!
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