DETECTDevtools & code

Experimental Go Linter with Jev

Arturo Bermejo@arturobermejo

22 views on X · does not affect score

This project is an experimental Go linter that utilizes Jev (TypeSafe AI) to perform semantic checks on code, answering yes/no questions with probabilities regarding aspects like PII in logs or state-modifying getters.

Related builds

Vectorless RAG with Jev

This project introduces a novel approach to Retrieval Augmented Generation (RAG) that replaces traditional embedding methods with a structured, table-of-contents-based navigation system, significantly improving speed and reducing costs by offloading non-generative tasks to Jev.

Oludele Halleluyah@hallelx2

155 views on XJev score 82

Jev Judgment Model Evaluation

Jev is a judgment model from TypeSafe AI that provides probabilities and confidence scores for typed questions based on a given state, designed to function as a non-acting governance layer.

Marquise@marquisehurtt

403 views on XJev score 80

Jev: Probabilistic Decision Model

Jev is a model that provides probabilistic decisions on defined questions instead of generating text, operating in a single parallel pass with typed inputs and outputs.

Robot-man@RobotsTJ500

202 views on XJev score 75

Local Business Lead Generation Workflow

This project rebuilds the process for finding local business leads by integrating Ghostmap for discovery, custom code for factual checks, and TypeSafe's Jev via OpenRouter for repetitive classification, with Codex managing the workflow and deeper reviews.

Joshhfm@joshhfm

90 views on XJev score 74