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Jevscript
A programming language where judgment is a runtime primitive: programs ask Jev narrow typed questions (noul, choice, score) as they run, and the Hocket engine coalesces judgments so two asks over one state become a single API request.
- Stars
- 1
- Language
- JavaScript
- Reading time
- 2 min
- Published by
- Community
- Author
- amberwhitehead
- Last verified
- Oct 2026
- Languages
- JavaScriptTypeScript
- Capabilities
- Open sourceRequires API key
Highlights
- JS-ish surface with three question forms (noul, choice, score) returning typed answers that carry probability and confidence.
- Hocket coalesces lazy judgments: everything built over the same state flushes as one request, and answers are memoized on question identity and state hash.
- The README reports about 2.7x input-token savings at a ~230-character state (measured at M0) and cites roughly 12x on document-dominated workloads.
- Status M0 (2026-09-16): the spike confirmed the answer contract and recorded the batching baseline; parser and interpreter are planned for M1.
- The deployment model keeps the API key server-side through a zero-dependency proxy pattern inherited from the sibling typesafe_test car-driver project.
Watch out
Copy reviewed against the repo README on 2026-10-15. The project is at milestone M0: the language, parser and interpreter are still milestones ahead, and GitHub metadata lists no license, so the code is all rights reserved by default.
Questions about this entry
Short answers drawn from the linked project or page.
A programming language where judgment is a runtime primitive: you write the program and it asks Jev narrow typed questions as it runs. Jev is not the programmer; it is an operator, like +, but for meaning.
Hocket is the engine that runs Jevscript: parser, interpreter and the coalescing machinery that flushes lazy judgments as one request per shared state, turning data dependencies into stage boundaries and memoizing answers.
The README reports about 2.7x on input tokens at a ~230-character state (measured at M0) and cites roughly 12x on document-dominated workloads from the TypeSafe cookbook; the win scales with state size.
M0 was completed on 2026-09-16: the spike confirmed the answer contract and recorded the batching baseline. Parser, interpreter, coalescing, policy stdlib and example ports are milestones M1 to M5 in PLAN.md.
Control flow, arithmetic, thresholds, retries and policy are ordinary code; only single semantic judgments become noul, choice or score questions. The README puts it as: the author thinks in judgments, Hocket thinks in requests.
Yes, it calls TypeSafe's System One model, and the API key stays server-side via a zero-dependency proxy pattern, the same deployment model as the sibling typesafe_test car-driver project. No other service is involved.
Not yet. GitHub metadata lists no license for the repository, so by default the code is all rights reserved, and the README does not mention licensing terms. Keep that in mind before reusing the spike code.
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