FoLAWy-py /

WitX-Preview

FoLAWy-py/WitX-Preview (Python)

A new way for AI to search for data
View on GitHub
2GitHub stars

Python, TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 7ca31bf6d1 (2026-10-23).

Selected work

Nigel
@FoLAWy-py

“sync execution safety and recovery improvements”. 17 files, 414 lines in tests, services, apps/web.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-24. 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

The prompt

Paste it into your AI agent. It clones FoLAWy-py/WitX-Preview at the pinned commit and indexes it on your machine.

Search the GitHub repository FoLAWy-py/WitX-Preview with XERJ (https://hub.xerj.org/corpus/folawy-py--witx-preview).
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/FoLAWy-py/WitX-Preview WitX-Preview && git -C WitX-Preview checkout 7ca31bf6d13b8d5fa7e908ccbc99f9118fc20a93
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./WitX-Preview --url http://127.0.0.1:9200 --prefix witx-preview --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

NigelAPI design and specification corpora

Selected work and consent: the XERJ registry.