Rust

Hello Rust!

A new way for AI to search for data
View on GitHub
2GitHub stars
7commits on master
0forks

Makefile 83.7%, Rust 16.3% · created 2022-11-11 · last push 2022-11-11

What XERJ indexed

Snapshot

50 files · 2.9 MB

The whole repository at commit 382f249af9. It is the newest commit on master.

Selected work

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

The prompt

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

Search the GitHub repository gonzalolater/Rust with XERJ (https://hub.xerj.org/corpus/gonzalolater--rust).
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/gonzalolater/Rust Rust && git -C Rust checkout 382f249af9f877a3b951ab5426e836b50f7a0634
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Rust --url http://127.0.0.1:9200 --prefix rust --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

Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.