RINNECODER /
Evaluation & Observabilityjev-behavior-study
An independent Jev 1.13.0 behavior study recording successes and failures across question framing, input conditions and games.
What Jev Does in this Architecture
Key Architecture Benefit
Lets readers inspect individual cases rather than infer broad capability from simple-task success.
Reviewed Source Code Evidence
Verified fixed-commit source files demonstrating genuine Jev integration:
Inspect on GitHub
Check out the upstream repository README, issues, and commit log.
RINNECODER/jev-behavior-studyArchitecture Category
Evaluation & Observability
Evaluation harnesses, latency profiling, tracing, and telemetry for Jev decisions.
View all in this category →Related Projects in Evaluation & Observability
NiazMorshed2007
jev-review
A local MCP code-quality reviewer returning structured scores to coding Agents.
Jev scores correctness, complexity, tests and security; code ranks areas to improve.
↳ Compares scores across checkpoints while leaving code changes to the primary Agent.
AbdelStark
jev-benchmarks
A benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.
Runs the same labeled text tasks through both backends and records probabilities, latency and failures.
↳ Helps examine task-specific accuracy and whether confidence scores support chosen thresholds.
mizchi
jev-playground
A MoonBit and TypeScript Jev playground covering games, browsers, command risk and small languages.
Experiments send action candidates or typed questions to Jev, then execute or record the answers.
↳ Includes source, experiment notes and some offline replays for comparing decision designs.