azakhary /
nixie-fx
Open-source particle and VFX runtimes for PixiJS and Three.js
A new way for AI to search for data
19GitHub stars
What XERJ indexed
Selected work
“Add opt-in ordered batching for Three unlit VFX surfaces”. 23 files, 6,887 lines in src/runtime, scripts.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-21. 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
particlespixijsthreejstypescriptvfx
Example questions
- How does nixie-fx implement particles?
- Where does nixie-fx handle “Add opt-in ordered batching for Three unlit VFX surfaces”?
- What does src/runtime do in nixie-fx?
The prompt
Paste it into your AI agent. It clones azakhary/nixie-fx at the pinned commit and indexes it on your machine.
Search the GitHub repository azakhary/nixie-fx with XERJ (https://hub.xerj.org/corpus/azakhary--nixie-fx). 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/azakhary/nixie-fx nixie-fx && git -C nixie-fx checkout 72515e86d9c4b1f24a22c8deb4e9dbf3dfa61e9b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./nixie-fx --url http://127.0.0.1:9200 --prefix nixie-fx --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.
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Selected work and consent: the XERJ registry.