xi-editor VS ripgrep

Was confused until I realised I'd confused Zed, with Xi[1] which is also rust based, and which incidentally has a frontend called "Xim"..

Also there's a wiki-editor (like Tomboy[2]) called "Zim"[3].

[1] https://github.com/xi-editor/xi-editor

Project site linked from the GitHub[0] is https://xi-editor.io. Linked doc is a mirror of this[1], which was afaik originally written by Raph Linus.

[0]: https://github.com/xi-editor/xi-editor

[1]: https://xi-editor.io/docs/rope_science_01.html

> thing that gets deleted when you hit backspace

Is there a canonical source for this part, by the way? Xi copied the logic from Android[1] (as per the issue you linked downthread), and I vaguely remember that CLDR had something to say about this too, but I don’t know if there’s any sort of consensus here that’s actually written down anywhere.

[1] https://github.com/xi-editor/xi-editor/pull/837

This is pretty much how copy-on-write ropes work. Check out xi-rope, Ropey or crop, they're all built using B-trees and implement the behavior you described.

Helix is awesome, though once Lapce (spiritual successor to Xi editor) gets the Helix/Kakoune editing model, I may have to jump ship

Home (xi-editor.io)

Maybe take a look at the Xi editor (https://xi-editor.io/) (written in rust I think) that uses a client server architecture.

Have a look at what Lapce uses. The editor is coming along nicely, and iirc, they use the Xi editor as a plug-in.

Raph Levien posted a retrospective about using CRDT’s for collaborative editing in xi-editor here [1]. His conclusion is

“I come to the conclusion that the CRDT is not pulling its (considerable) weight. When I think about a future evolution of xi-editor, I see a much brighter future with a simpler, largely synchronous model, that still of course has enough revision tracking to get good results with asynchronous peers like the language server.”

[1]https://github.com/xi-editor/xi-editor/issues/1187#issuecomm...

ripgrep - https://github.com/BurntSushi/ripgrep

Basic code searching skills seems like something new developers are never explicitly taught, but which is an absolutely crucial skill to build early on.

I guess the knowledge progression I would recommend would look something kind this:

- Learning about Ctrl+F, which works basically everywhere.

- Transitioning to ripgrep https://github.com/BurntSushi/ripgrep - I wouldn't even call this optional, it's truly an incredible and very discoverable tool. Requires keeping a terminal open, but that's a good thing for a newbie!

- Optional, but highly recommended: Learning one of the powerhouse command line editors. Teenage me recommended Emacs; current me recommends vanilla vim, purely because some flavor of it is installed almost everywhere. This is so that you can grep around and edit in the same window.

- In the same vein, moving back from ripgrep and learning about good old fashioned grep, with a few flags rg uses by default: `grep -r` for recursive search, `grep -ri` for case insensitive recursive search, and `grep -ril` for case insensitive recursive "just show me which files this string is found in" search. Some others too, season to taste.

- Finally hitting the wall with what ripgrep can do for you and switching to an actual indexed, dedicated code search tool.

live grep: ripgrep

The world has moved on though to opinionated tools, and Rust isn't even the furthest in that direction (That would be Go). The equivalent of those two lines in Cargo.toml would be this example of a basic configuration from the jacoco-maven-plugin: https://www.jacoco.org/jacoco/trunk/doc/examples/build/pom.x... - That's 40 lines in the section to do the "defaults".

Yes, you could add a load of config for files to include/exclude from coverage and so on, but the idea that that's a norm is way more common in Java projects than other languages. Like here's some example Cargo.toml files from complicated Rust projects:

Servo: https://github.com/servo/servo/blob/main/Cargo.toml

rust-gdext: https://github.com/godot-rust/gdext/blob/master/godot-core/C...

ripgrep: https://github.com/BurntSushi/ripgrep/blob/master/Cargo.toml

socketio: https://github.com/1c3t3a/rust-socketio/blob/main/socketio/C...

I'm not clear on why you're seeing the results you are. It could be because your haystack is so small that you're mostly just measuring noise. ripgrep 14 did introduce some optimizations in workloads like this by reducing match overhead, but I don't think it's anything huge in this case. (And I just tried ripgrep 13 on the same commands above and the timings are similar if a tiny bit slower.)

[1]: https://github.com/radare/ired

[2]: https://github.com/BurntSushi/ripgrep/discussions/2597

Explore o Ripgrep no repositório oficial: https://github.com/BurntSushi/ripgrep

🔎🗃️ ripgrep or ugrep (search fast, use regex patterns or fuzzy search, pipe output to bash/zsh shell for further processing V coloring)