built `jev-review` @typesafeai it's an experimental

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Built jev-review, a local MCP plugin that scores coding agents on quality metrics so they can iterate on their own output in a feedback loop.

The original post

built `jev-review` @typesafeai

it's an experimental, local-first MCP plugin that gives coding agents a score quality feedback loop across different metrics.

agents call jev while they work, get scored, make improvements, and repeat the loop

try below 👇

Quoted post

@CompleteSkeptic34.6M views
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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

Engagement when collected

Views44.4K
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Reposts28
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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows, coding & developer tools. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post