xpeed

xpeed-sh/xpeed (Rust)

A new way for AI to search for data

View on GitHub

2GitHub stars

Rust, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 9872552cb7 (2026-10-14).

Selected work

Ronald Ramos
@ronaldbit

“vs0.10.8”. 17 files, 1,705 lines in src, scripts, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. 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

Example questions

Where does xpeed handle “vs0.10.8”?

The prompt

Paste it into your AI agent. It clones xpeed-sh/xpeed at the pinned commit and indexes it on your machine.

Search the GitHub repository xpeed-sh/xpeed with XERJ (https://hub.xerj.org/corpus/xpeed-sh--xpeed).
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/xpeed-sh/xpeed xpeed && git -C xpeed checkout 9872552cb72ec37654af34254a9d06dfaf070060
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./xpeed --url http://127.0.0.1:9200 --prefix xpeed --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.

Ronald Ramos API design and specification corpora

Selected work and consent: the XERJ registry.