mac-command-bar

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A new way for AI to search for data
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Dart, Kotlin

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 20d4d0358d (2026-10-18).

Selected work

jcoble
@jcoble

“Phone receives push notifications”. 7 files, 312 lines in mobile, the project root.

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 2026-10-20. 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 jcoble/mac-command-bar at the pinned commit and indexes it on your machine.

Search the GitHub repository jcoble/mac-command-bar with XERJ (https://hub.xerj.org/corpus/jcoble--mac-command-bar).
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/jcoble/mac-command-bar mac-command-bar && git -C mac-command-bar checkout 20d4d0358d8a424cad323cf523146fdf63e6e036
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./mac-command-bar --url http://127.0.0.1:9200 --prefix mac-command-bar --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

Selected work and consent: the XERJ registry.