code

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A new way for AI to search for data
View on GitHub
8GitHub stars

Rust, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit a28fc293ed (2026-10-16).

Selected work

Hakan Göksu
@hakangoksu

“qcode 0.1.23: the appearance settings every Quvyta application shares…”. 45 files, 1,383 lines in src/ui, src, src/desktop.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

claude-codecoding-agentscontainersdeveloper-toolsdockerpodmanratatuirust

Example questions

The prompt

Paste it into your AI agent. It clones quvyta/code at the pinned commit and indexes it on your machine.

Search the GitHub repository quvyta/code with XERJ (https://hub.xerj.org/corpus/quvyta--code).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/quvyta/code code && git -C code checkout a28fc293ed5176fafcc84aee86cf9e236e5fa6c8
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./code --url http://127.0.0.1:9200 --prefix code --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.