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Are you using Zed's crate or a private fork?

Based on Zed's gpui but we have applied a lot of patches so it's basically a private fork at this point. We're hoping to work with Zed to upstream these patches!

> We're hoping to work with Zed to upstream these patches!

Yes please. The GPUI ecosystem is too fragmented


Interesting. Easier than the gh cli?

I don't personally use gh myself, the only reason I installed it in the first place is because I noticed claude code attempts to find it any time it's interacting with GitHub.

To be clear I don't assume ill intent here, I'm just baffled as is to why


How does it compare to Difftastic[1]? Both built on top of TreeSitter and solve similar problems.

[1] https://difftastic.wilfred.me.uk/


Comparing is slightly complicated but roughly speaking:

Difftastic only diffs code, which is only 2/3 of all diffs.

When only measured on stuff difftastic supports:

Difftastic is perfect on 64% of diffs and near-perfect on 17% more.

Omnidiff is perfect on 90% of diffs and near-perfect on 5% more.

Speed is

p50 - 35ms difftastic vs 4ms OmniDiff p99 - 637ms vs 420ms

Difftastic is MIT vs AGPL.


> Difftastic is perfect on 64% of diffs and near-perfect on 17% more.

> Omnidiff is perfect on 90% of diffs and near-perfect on 5% more.

I did not find examples in the repo or any way to test what "perfect" or "near perfect" in those cases mean. On the playground you compare against unix diff only. Based on my quick comparisons with difft, I do not see much difference. Could you add a link to comparisons or show how it differs and what are those numbers based on??? I'm not dismissive, just looking for a proof or showcase.


It’s in the research/ directory.

Fair warning: the true comparison is fairly complex and doesn’t really lend itself to “quick comparison”.

Also, the research is NOT complete.


> Difftastic only diffs code, which is only 2/3 of all diffs.

Care to elaborate? What does Omnidiff offer for non-code files?


https://ivankovic.github.io/omnidiff/showcase/content.html

Note that you do need a terminal with image support, like kitty, alacritty.

If you do not have image support, it does its best with image2ascii, but it is obviously severely limited.


Wow.. that looks great


"In August, we introduced the billable usage dashboard and API which lets non-Enterprise customers see how much they’ve spent and download their consumption data to use offline directly or through third-party tools like Vantage. We also introduced budget alerts, which are on by default to prevent unpleasant billing surprises. We're prototyping hard spending caps now, with early availability in Q4 2026."

Yes! Yes! Hard caps please


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