
GitHubCoding and code review
Jev Review
A staged code-review workflow with a local dashboard.
Dev Agrawal
686Updated Nov 10, 2026
855 projects, posts and guides about Jev, the System One model from TypeSafe AI. Each entry links to its source and shows the cost and speed its author reported.

Diogo Almeida
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
Newest first, 897–929 of 1072. All 1072 in curated order

GitHubCoding and code review
A staged code-review workflow with a local dashboard.
Dev Agrawal
686

GitHubCoding and code review
GitHub PR labels chosen by Jev, with size measured as scope, not lines.
Jeremy Huang
4
GitHubCoding and code review
Turn an agent skill into an Oxlint plugin that asks Jev.
Tony Powell
1
GitHubCoding and code review
Cucumber tests from the .feature file alone. No step definitions.
Michael Poage
3
GitHubCoding and code review
Semantic code search for coding agents, benchmarked on SWE-bench Lite.
Bently
82%
GitHubContext and memory
Trims long Bash output with Jev before Claude reads it.
Tamara Tran
163
GitHubContext and memory
A context sieve for Claude Code: Jev judges each tool result before it lands.
Ghaleb Dweikat
110

GitHubContext and memory
Classify first, read selectively: an agent plugin and MCP tool.
Kush Bhuwalka
48
GitHubContext and memory
A Pi extension: Jev picks the file excerpts, a local model writes the code.
Max Lv
14
GitHubSDKs and integrations
A local MCP server that runs ready-made Jev question packs.
Pedro Knigge
1
GitHubSDKs and integrations
A Rust CLI for Jev, with a linter that checks questions before you pay.
Ariel Frischer
4
GitHubSocial feeds
A prose linter for AI writing tells: regex rules plus Jev for judgment.
Daniel Willoughby
35
GitHubSocial feeds
Writing checked on separate named axes, each with its own verdict.
TypeSafeAI (community)
2

GitHubSecurity and abuse
The live Bluesky firehose, judged post by post, with a lane for humans.
Leo Mata
0~$0.00003
GitHubSecurity and abuse
A Telegram bot that deletes only the spam Jev is sure about.
Nikita Kolmogorov
17
GitHubSecurity and abuse
Input moderation for Mastra agents in one file.
CodeAlive
7~0.4 s
GitHubTrading and markets
Fed press conferences scored word by word, Jev against chat models.
SuperTurbo
1~150 ms
GitHubSDKs and integrations
Ask a question about every row in SQL, and get a real SQL type back.
Colliber
29
GitHubSDKs and integrations
A PostgreSQL extension that calls Jev from SQL.
Giulio Piccolo
88
GitHubBenchmarks and evals
Where Jev holds up and where it breaks, with real API receipts.
Zaious
27

GitHubTools and apps
A macOS utility that tells you which listening ports are safe to stop.
Epiphany Dynamics
1
GitHubSDKs and integrations
An unofficial Laravel package for Jev, with typed responses and test fakes.
Alexey (Butochnikov)
3
GitHubOpen source
A tiny Jev-like model on Qwen2.5-0.5B that trains and runs on a MacBook.
Jared Palmer
9.2k~160 ms
GitHubOpen source
Typed, calibrated decisions from any open-weights model, on your own GPU.
ikermoel
67
GitHubOpen source
An open 151M decision model on ModernBERT, with a WebGPU playground.
Hemant Kumar
110Kai
@hqmank
I rebuilt my job crawler with Jev. The task: start at a company's official homepage, find Careers, and identify jobs that match my profile. Before, with an LLM: ~5 minutes. After, with Jev: just over 20 seconds in my test. Every company organizes its website differently. Jev identifies the Careers entry point, chooses which links to follow, recognizes job pages, and scores each role against my profile. This is where Jev makes sense to me: automation that needs lots of small decisions, with faster responses and lower costs than calling an LLM at each step. Packaged it as a skill: jev-job-hunter. Demo below.
Kevin Wang
@mxfp4
everyone's making demos with Jev but nobody is making real products introducing lurk.so find and monitor reddit threads to get cited by AI > FREE > 4000 reddit threads scanned > email, discord, slack only possible to give for free bc of Jev & @getanyapi
Peter Wang
@the_cyw
I made a chrome extension to label all the X posts on my timeline. It tells me if each post is clean, engagement bait, promo, secondhand or filler. $0.03 for 1000 posts. Open sourced if you want to try it out.
Higgsfield AI 🧩
@higgsfield_ai
Jev is really good at content filtering and asset selection. DeepSeek + Higgsfield turn the selected assets into ad creatives.
XAds and marketing
Same directory, different order: the entries added most recently, rather than the curated order the home page opens in. The date on a card is the day it was added here, not the day its author published it — this directory is newer than most of the work in it.