whodunit

Lightweight creator/updater/deleter tracking for ActiveRecord models

A new way for AI to search for data
View on GitHub
7GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit eafe75b1d8.

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 2026-11-02. 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

audit-trailcreatordeleterlightweightrubygemupdaterrails

Example questions

The prompt

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

Search the GitHub repository kanutocd/whodunit with XERJ (https://hub.xerj.org/corpus/kanutocd--whodunit).
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/kanutocd/whodunit whodunit && git -C whodunit checkout eafe75b1d8d21a6a3d1ab01e2443fc817d7abb66
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./whodunit --url http://127.0.0.1:9200 --prefix whodunit --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.