shoe_counter_ai
Luishiño's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an…
What XERJ indexed
Snapshot
The whole repository at commit 3716ee9b4f (2026-10-20). main is 4 commits ahead.
Selected work
“Machine learning”. 65 files, 5,514 lines in backend, web, entrenamiento.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-25. 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
Example questions
- Where does shoe_counter_ai handle “Machine learning”?
- What does backend do in shoe_counter_ai?
The prompt
Paste it into your AI agent. It clones Pericena/shoe_counter_ai at the pinned commit and indexes it on your machine.
Search the GitHub repository Pericena/shoe_counter_ai with XERJ (https://hub.xerj.org/corpus/pericena--shoe-counter-ai). 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/Pericena/shoe_counter_ai shoe_counter_ai && git -C shoe_counter_ai checkout 3716ee9b4fbf713e1a616218444d66832ba6bb6b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./shoe_counter_ai --url http://127.0.0.1:9200 --prefix shoe-counter-ai --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
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Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.