super-mango-editor

C11/raylib platformer and visual level editor. Play in the browser via WebAssembly, build TOML worlds, and learn game development with…

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

Python, C

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit c96a4a24ee (2026-10-21).

Selected work

Jonathan Peris
@jonathanperis

“Fuzz the editor's save and reload, add clang-tidy and per-file covera…”. 10 files, 877 lines in tests, tools, 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 2026-10-23. 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

2d-gamecemscriptengame-developmentgamedevopen-sourcepixel-artplatformer

Example questions

The prompt

Paste it into your AI agent. It clones jonathanperis/super-mango-editor at the pinned commit and indexes it on your machine.

Search the GitHub repository jonathanperis/super-mango-editor with XERJ (https://hub.xerj.org/corpus/jonathanperis--super-mango-editor).
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/jonathanperis/super-mango-editor super-mango-editor && git -C super-mango-editor checkout c96a4a24ee0c8e26ca98f8748f1a47c971f743c8
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./super-mango-editor --url http://127.0.0.1:9200 --prefix super-mango-editor --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.