What do you want to do?
3 use cases
-
Edit a large codebase in a fast native editor
Open a big project in a native, Rust-built editor that stays responsive on large views.
- Wu
- Software and DevOps
- Intermediate
View prompt
Using the dstrml/wu repo, install Wu on this machine and open <project-path> in it. Expected output: the project tree visible in the Wu editor. Verify that a large file in the project opens without visible delay.
-
Hand a coding task to a built-in coding agent
Use Wu's agent workspace with Claude Code or Codex to draft changes inside your project.
- Wu
- Claude Code
- Codex
- Software and DevOps
- Advanced
View prompt
In the dstrml/wu repo context, open <project-path> in Wu and use the built-in Claude Code or Codex agent to make this change: <task>. Expected output: a proposed edit to <file-path>. Verify by reading every changed line before saving.
-
Check Wu's memory use against your current editor
Read the memory benchmark and measure your own setup before moving a machine to Wu.
- Wu
- Software and DevOps
- Intermediate
View prompt
Clone the dstrml/wu repo and read docs/memory-benchmark.md. Expected output: a short summary of how the benchmark measured memory and which editors it compared. Verify that the summary names each editor compared.
How to use Wu
- Check you have what it needs: A desktop computer running macOS, Linux, or Windows; Permission to install a desktop app; Optional: access to Claude Code or Codex for the agent use case.
- Open dstrml/wu on GitHub and read the README and license.
- Download Wu from the Download section for your platform, or on macOS or Linux run
curl -fsSL https://wu.dstrml.org/install.sh | sh. - Read the install script in your browser before running it, or use the manual download links instead.
- Open your project folder in Wu using its open-folder command. (inferred, check the README)
- Browse the project tree and open a large file to check that it loads without visible delay.
These steps come from our top use case, Edit a large codebase in a fast native editor, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forDevelopers who want a lightweight native code editor with built-in coding agent support.
- Why it is hot
- LanguageRust
- Sourcegithub.com/dstrml/wu · Back to Hot repos
Requirements
- A desktop computer running macOS, Linux, or Windows
- Permission to install a desktop app
- Optional: access to Claude Code or Codex for the agent use case
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Questions about Wu
What is Wu?
Wu is a fast, native code editor written in Rust, with coding agents built in. It is an open-source project on GitHub: https://github.com/dstrml/wu.
Who is Wu for?
Developers who want a lightweight native code editor with built-in coding agent support.
What can I do with Wu?
3 use cases so far, for example: Edit a large codebase in a fast native editor; Hand a coding task to a built-in coding agent; Check Wu's memory use against your current editor. Each has steps and a copy-paste agent prompt.
What do I need to run Wu?
A desktop computer running macOS, Linux, or Windows; Permission to install a desktop app; Optional: access to Claude Code or Codex for the agent use case.
What are alternatives to Wu?
Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.
Is Wu safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.