Jev for coding and context
Inside a coding agent: compaction, context windows, the harness around the model.
18 items, from every source we cover All use cases
- GitHub
GitHub · project
devagrawal09/jev-review
Read the README for the pipeline rather than the dashboard: a Null risk matrix, then Choice and Score file profiles, evidence selection, mechanism classification, severity, and a conditional Choice that routes which reviewer sees it. Orchestration stays in code and Jev only answers the bounded judgements — which is the pattern to copy.
- X
X · image
Este tipo de herramientas empieza a hacer que el contexto de los agentes parezca menos una ve…
A Spanish-language reaction noting that the agent's context stops feeling like a black box. Small reach, and the only post here making that particular observation.
- YouTube
YouTube · video
JEV Breakdown: The First AI Model Built For Code
A breakdown framed around code instead of chat, which is the framing that matches what the model actually does. The claim in the title is the video's, not ours.
- X
X · image
Jev Engineering: how to build the fastest AI Agent Brain in 10 Steps (Full-Setup)
A ten-step article about putting Jev where an LLM was doing the cheap work inside an agent loop — the same case our builds column keeps finding, written as a walkthrough with the setup included. The numbers in it are the author's, not ours; 750 likes and 31 replies at the time we read it.
- X
X · video
Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, th…
A clip of the founder arguing that the next era is not coding agents. Worth having as the vendor's own framing of the direction — and worth remembering it is a claim about where things go, not a measurement.
- X
X · video
Jev solved local harness/model routing I use a combination of Claude Code, Codex and Opencode…
A developer using a decision model to route between Claude Code, Codex and opencode: the practical version of the routing argument made elsewhere in this column.
- GitHub
GitHub · project
kitfunso/hippo-memory
The most carefully reported Jev result in this list, including its own negative: an opt-in reranker takes R@1 from 0.41 to 0.62 on a private 300-query store at about $0.0004 a recall, the margin held in 20 of 20 seeds — and three graded tests still did not beat the free local cross-encoder. Off by default.
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Hacker News · thread
LLMs Generate. Jev Decides. Software Should Know the Difference
An integration write-up rather than a benchmark, and the framing is the reason it is here: the author's complaint is that we took a machine built to generate open-ended sequences and asked it politely not to be. He put Jev into a real Java invoice-processing application through The Pipeline Framework, found the old prompt already contained the list of answers, and reports that some of the work being sent to an LLM was never an LLM problem. Declared AI-assisted on dev.to.
- GitHub
GitHub · project
reticlehq/reticle
File this one under roadmap, which is where Reticle puts Jev: the README says plainly that nothing ships against it yet. The case is still worth reading, because it is the only project here that names the decisions it would route — is this page settled, is this finding worth chasing — and then says why a 70–500ms typed answer beats an LLM there.
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Hacker News · thread
Show HN: Jeff – A read-only CLI for semantic code review using Jev
A read-only review CLI, and the thread argues about the word read-only rather than the model: one commenter points out that in a coding agent an edit is refused unless the file was already read in that conversation. Good thread for the enforcement question.
- GitHub
GitHub · project
tamaratran/fast-jev-compaction
A Claude Code plugin that replaces the compaction step with a Jev call. Small, unglamorous, and among the highest-starred entries here — the pattern tends to show up in tooling before it shows up in products.
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X · post
This is a terrible compaction strategy that fundamentally doesn't understand how compaction a…
A well-known developer arguing the compaction plugin is the wrong approach. The most useful dissenting post in the list, and it is aimed at a build we cover.
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X · image
This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all…
The most-liked post here: Jev working as a plugin inside Claude, for review work. The interesting part is the shape rather than the excitement — a large model writes, Jev decides.
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GitHub · project
thruwire/foreman
Puts the decision model above the coding agent instead of inside it: a Codex or OpenCode worker does the engineering, and Foreman independently asks whether the ticket is finished, the tests exist and the requirements were met. The separation of the worker from the thing that checks the worker is the pattern most of our field notes end up describing.
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X · post
Unsure how to get started with Jev? Install the skill: npx skills add typesafe-ai/skills --sk…
The shortest useful post here: one command that installs the vendor's own skills. As much a resource as a demo, and how most people in this list started.
- X
X · image
We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster …
A benchmark post with a concrete result: roughly 5-18x faster on a safety classifier. Their numbers, their harness; it is listed because they published the setup.
- YouTube
YouTube · video
What is Jev and How to Use it?
A twenty-two minute explainer whose chapter list is a syllabus: what Jev is, how it differs, speed and price, then state, questions and answers, the three answer types, the playground, and finally requests. It is the one to send somebody who has never heard of a System One model.
- X
X · video
连 JEV 的联合创始人 @CompleteSkeptic 都亲自下场转发点赞：这是 JEV 正确的打开方式！ 大家在 Claude Code 里写长代码，最恶心的就是上下文一满，系统就…
A Chinese-language clip about long coding sessions where the context window fills up. The co-founder reposted it, which is how it reached this list.