Paraxanos

Corpus Hub contributor since 2026-10-24

Paraxanos's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

29files

1,201lines

★ 2GitHub stars on repo

Totals across every corpus @Paraxanos appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the ParaCast-A-2.5D-Raycasting-Engine corpus

Paraxanos/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…

Reuse a worked example: the commit “Feat/add-phase-1” (29 files · C).
Answer from ParaCast-A-2.5D-Raycasting-Engine's real C source instead of memory (API design and specification).

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?

Paste it into your AI agent. It clones the repo 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.

corpus paraxanos--paracast-a-2-5d-raycasting-engine · API design and specification
Related corpora: google-aip, cel-spec, google-eng-practices, adyen-openapi
Search an OpenAPI spec from an agent · Case study: reference coding for agents

Selected work

GitHub ★ 2

Paraxanos/ParaCast-A-2.5D-Raycasting-Engine

3d5f1937ca Feat/add-phase-1

selected commit: 29 files · 1,201 lines · C · engine, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus paraxanos--paracast-a-2-5d-raycasting-engineAPIMIT agreed 2026-10-24

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/Paraxanos/badge.svg)](https://hub.xerj.org/contributors/Paraxanos)

Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.