kafka-consumer

fglend/kafka-consumer (PHP)

A new way for AI to search for data
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1GitHub stars

PHP

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 92861e0bc6 (2026-10-22).

Selected work

Gurento
@fglend

“Support dot notation for nested payload mapping”. 5 files, 477 lines in tests, src/Services, 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

The prompt

Paste it into your AI agent. It clones fglend/kafka-consumer at the pinned commit and indexes it on your machine.

Search the GitHub repository fglend/kafka-consumer with XERJ (https://hub.xerj.org/corpus/fglend--kafka-consumer).
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/fglend/kafka-consumer kafka-consumer && git -C kafka-consumer checkout 92861e0bc617a97bd878f34e386a0e9585e21bba
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./kafka-consumer --url http://127.0.0.1:9200 --prefix kafka-consumer --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.