campong

campong

Corpus Hub contributor since 2026-10-24

campong'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
27files
1,689lines
★ 2GitHub stars on repo

Totals across every corpus @camponggogo 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 suay corpus

camponggogo/suay: Distributed AI compute for local networks. Pool idle CPU/GPU resources, share LLM inference workloads, and centrally manage native AI…

Example questions
Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.
Search the GitHub repository camponggogo/suay with XERJ (https://hub.xerj.org/corpus/camponggogo--suay).
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/camponggogo/suay suay && git -C suay checkout c7f97c6e8258d80634e564f79ed2e0c73846966f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./suay --url http://127.0.0.1:9200 --prefix suay --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 camponggogo--suay · AI, prompts and agents
Related corpora: cognita, guidance, giskard, instructor
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 2

camponggogo/suay

c7f97c6e82 publish-pasadhi-pitch-theme-downloads-and-open-font-papers
selected commit: 27 files · 1,689 lines · Python, JavaScript · landing-pasadhi, deploy, scripts

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

selected · in licence reviewcorpus camponggogo--suayAIMIT 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 badge
[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/camponggogo/badge.svg)](https://hub.xerj.org/contributors/camponggogo)

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.