ParaCast-A-2.5D-Raycasting-Engine
I am trying to build a 2.5D raycasting engine inspired from my favorite arcade game, Wolfenstein 3D and the original DOOM. In this project…
A new way for AI to search for data
2GitHub stars
What XERJ indexed
Selected work
“Feat/add-phase-1”. 29 files, 1,201 lines in engine, 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 2026-10-24. 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
- Where does ParaCast-A-2.5D-Raycasting-Engine handle “Feat/add-phase-1”?
- What does engine do in ParaCast-A-2.5D-Raycasting-Engine?
The prompt
Paste it into your AI agent. It clones Paraxanos/ParaCast-A-2.5D-Raycasting-Engine at the pinned commit and indexes it on your machine.
Search the GitHub repository Paraxanos/ParaCast-A-2.5D-Raycasting-Engine with XERJ (https://hub.xerj.org/corpus/paraxanos--paracast-a-2-5d-raycasting-engine). 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/Paraxanos/ParaCast-A-2.5D-Raycasting-Engine ParaCast-A-2.5D-Raycasting-Engine && git -C ParaCast-A-2.5D-Raycasting-Engine checkout 3d5f1937cad3e93cc339ec4621d5e85c6170bb3d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ParaCast-A-2.5D-Raycasting-Engine --url http://127.0.0.1:9200 --prefix paracast-a-2-5d-raycasti --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
ParaxanosAPI design and specification corpora
Selected work and consent: the XERJ registry.