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Introducing Vals-Smith: turn your code base into a customized benchmark. Public benchmarks tell you which model is strongest overall, not which model is the best on your code. Vals-Smith turns your merged pull requests into real coding tasks and measures the percentage a model can actually resolve. New models... show more
46,847 Aufrufe • vor 3 Monaten •via X (Twitter)
28 Kommentare

Join the waitlist today!

props to @OfirPress @jyangballin @KLieret for laying a lot of the ground work. by default we evaluate all models with mini swe agent, methodology is heavily swe bench inspired

congrats on the launch!!

Congrats @RayanKrishnan on the launch!

Great work!

Awesome release -- can't wait to try it out code speed about to double

i had this idea for months and these days its great, you just have to wait because good ideas end up getting implemented thanks!

Super cool launch, congrats!

🔥🔥

拿自己仓库测,比看榜单踏实多了

This is very exciting!!

PRs as the benchmark set is the only metric that matters. Generic evals lie.

congrats guys!

Awesome stuff

🚀

Really important

this is awesome

This is really cool!

Really cool work @RayanKrishnan !!

sounds expensive lol

repo-specific evals are the way. we built this into @Superconductor too, and you can run your own on merged PRs today no waitlist:

🔥🔥🔥

congrats on the launch!

This feels like the direction coding evaluation is heading. The most useful benchmark isn't the one that ranks models globally—it's the one built from your own workflows and codebase.

@grok competitor landscape in both closed and open source

Measuring performance on your own code is a game-changer. Love this.

Looks awesome 🚀🚀

I like this but vibe coded video

