Skip to content
JevDirectory.org
CommunityTools & Integrations10 starsVerified 2026-09-22

Clean Code Review

A hosted and self-hostable pull-request reviewer where Jev answers a Clean Code question set for each changed file and Luna writes the review from those answers; also exposed as a stateless Streamable HTTP MCP server.

Open github.comfrostney/clean-code-review
Category
Tools & Integrations
Published by
Community
Author
frostney
Added
2026-09-22
Tagscommunitytypescriptmcpagentsvercel

Highlights

  • One Jev evaluate() call per file runs in parallel; a judge turn and a summarize turn share one durable eve session per browser tab.
  • Limits: 24 code files per review, the largest first, 64,000 characters per file read in 16,000-character windows, public GitHub repositories only.
  • A fresh review takes 2 to 8 seconds, a 24-file pull request included, and up to about 60 seconds when Luna is slow.
  • The MCP endpoint is stateless Streamable HTTP with no sign-in; review_pull_request takes a public PR URL and review_pasted_code takes up to 1,000,000 chars.
  • Images, binaries, lockfiles, minified and generated files are skipped, and files that were not judged are returned with a reason.

Quickstart

bash
bun install
bunx eve link --non-interactive --project <your-project>   # gateway credential into .env.local
bun run dev
claude mcp add --transport http clean-code-review https://clean-code-review.vercel.app/api/mcp

Watch out

MIT-licensed; needs Bun 1.4, Node.js 24, and a Vercel account for the AI Gateway credential, the hosted deployment rate-limits per client IP with a $15 weekly gateway budget, and verdicts are advice, not permission to merge.

More like this

Reticle
815GitHub stars
An MCP server and agent skill that verifies coding-agent work by driving the real running app and returning pass, fail, or couldn't-tell verdicts with the file:line to fix; its listing frames the approach as Jev-style machine-native runtime perception.
Tools & Integrations#community#typescript#mcp
Communityreticle
Hippo
753GitHub stars
A local SQLite memory layer for CLI agents with an opt-in Jev reranker that batches Noul judgments over the top 40 recalled memories and falls back to a local cross-encoder on errors.
Tools & Integrations#community#typescript#agents
Communityhippo-memory
Skillbox
226GitHub stars
A self-hosted, versioned skills library for AI agents with HTTP MCP, scoped client keys, and opt-in Jev recommendations that rank skills for a task using your own OpenRouter, TypeSafe, or Vercel key.
Tools & Integrations#community#typescript#mcp
Communityskillbox
Back to all resources

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A 706K-parameter form filler

Arsh - 16 y/o builder
Arsh - 16 y/o builder
@be_arsh
·

cua open sourced a 706k param model that fills a whole form in one 50ms pass the llm agent doing the same form took 23 turns and 39.6 seconds the specialists are going to eat the generalists from the bottom

Cua
Cua
@trycua

1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua

Image
Reply
Read 1 reply

Navigating Neo4j with Jev

思维怪怪
思维怪怪
@0xLogicrw
·

Jev 这个 waitlist 还是很给力的，昨天申请，今天就能用上。 给已经拿到 API、但还不知道怎么玩的人整理了一份 Awesome Jev，目前我能确认到的 Jev 项目基本都在这里： 1. jev-ultrafast Browser Use 做的高速浏览器 Agent。Jev Show more

Image
思维怪怪
思维怪怪
@0xLogicrw

前 OpenAI 研究员 Diogo Almeida 创办的 TypeSafe AI 推出新模型 Jev。它有点像一个能读懂自然语言的超级分类器，不生成文本，只返回选项、分数和概率，专门给软件做判断。 普通大模型需要一个 token 一个 token 往外生成，Jev 则可以并行给出多个结果。TypeSafe 还用新的 RLCD

Reply
Read 35 replies

Reranking 33,047 catalog entries

Jason Zhu
Jason Zhu
@GoSailGlobal
·

拿 Jev 做搜索重排，我先泼一盆冷水：单独用，它没打赢向量检索 TypeSafe 的 Jev 这阵子很火，一堆项目拿它做重排。我们在 Agent Skills Hub 的 33,047 条目录上认真测了一次，164 条中英文真实查询，9,831 对分级标注，整套只花了 2.6 美元 三个结论 01｜单独重排，约等于没赢 Jev 重排 bge-m3 Show more

Watch on X
Jason Zhu
Jason Zhu
@GoSailGlobal

有美团、阿里的老哥嘛？ 试试加一路召回、重排（离线、近实时实现），我觉得有奇效 他在文本理解上 跟之前机器学习、llm很不一样 还能自动打标签做特征

Reply
Read 6 replies

Six uses that stuck after 60 days

Security decisions that fit Jev

Kostas
Kostas
@Kostastsale
·

This made me rethink where AI actually fits into security engineering. For purely engineering work, forget about ChatGPT or Claude. TypeSafe AI just released Jev, and I think it’s going to change how we build AI into security workflows. Instead of asking an LLM to “investigate Show more

TypeSafe AI
TypeSafe AI
@typesafeai

we are officially out of stealth! join the frontier and get access to Jev on our website (link on profile)

Reply
Read 14 replies

A million judged questions