I got access to Jev by @typesafeai today morning and I

Built DiffJury, which pastes a public PR link and uses Jev to say whether it is safe to merge or needs review.

The original post

I got access to Jev by @typesafeai today morning and I built a cool use case for it

Introducing DiffJury - simply paste any public PR link and Jev tells you immediately if it's safe to merge or does it require review ✅

🔗 Feel free to try it out here -

Imagine Jev being able to tell you if you should merge a PR with grounded context of your codebase. that's what we're building at @graphify 👀

It's fascinating how insanely fast Jev is... the model architecture in itself is quite interesting and this has opened up a plethora of new use cases and I'm sure the internet will pick up on it sooner than anyone'd expect

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@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

What the author linked

• diffjury.up.railway.app
• DiffJury — Jev decides if this PR is risky or not — Paste a public GitHub pull request. DiffJury fetches the dossier and Jev returns a risk verdict — no essays.

Engagement when collected

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.