stan-language-server

Implementing the language server protocol for the Stan probabilistic programming language

A new way for AI to search for data
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13GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 6c33f8799a (2026-10-17).

Selected work

Jens Kouros
@tomatitito

“Add documentation code action handler”. 3 files, 277 lines in src/__tests__, src/handlers.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-18. 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 tomatitito/stan-language-server at the pinned commit and indexes it on your machine.

Search the GitHub repository tomatitito/stan-language-server with XERJ (https://hub.xerj.org/corpus/tomatitito--stan-language-server).
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/tomatitito/stan-language-server stan-language-server && git -C stan-language-server checkout 6c33f8799a2cd1d179190a6c80afc362b2cb21b5
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./stan-language-server --url http://127.0.0.1:9200 --prefix stan-language-server --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.