Rehmana

Corpus Hub contributor since 2026-10-23

Rehmana'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

25files

6,274lines

★ 5GitHub stars on repo

Totals across every corpus @RehmanaYounis 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 greenray-aio corpus

RehmanaYounis/greenray-aio: Hands-on lab simulator and mock exam for the NVIDIA NCP-AIO certification. Simulated DGX H100 cluster, Slurm, Kubernetes, BCM. No GPU…

Look up how greenray-aio implements certification, dgx, exam-prep, with answers cited to file and line.
Reuse a worked example: the commit “Split the container tools and cmsh into packages and share one comman…” (25 files · Python).
Answer from greenray-aio's real Python source instead of memory (Operations and SRE).

Example questions

How does greenray-aio implement certification?
What does src/greenray do in greenray-aio?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository RehmanaYounis/greenray-aio with XERJ (https://hub.xerj.org/corpus/rehmanayounis--greenray-aio).
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/RehmanaYounis/greenray-aio greenray-aio && git -C greenray-aio checkout b5dd3d381d3a09e3ac3e3358edcb73fd15891554
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./greenray-aio --url http://127.0.0.1:9200 --prefix greenray-aio --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: Apache-2.0. Keep the copyright notice and credit the authors.

corpus rehmanayounis--greenray-aio · Operations and SRE
Related corpora: adalflow, haystack, aai-labs/agent-barn, dhanushk-offl/guro
Operational intelligence with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 5

RehmanaYounis/greenray-aio

b5dd3d381d Split the container tools and cmsh into packages and share one comman…

selected commit: 25 files · 6,274 lines · Python · src/greenray, the project root, tests

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

selected · in licence reviewcorpus rehmanayounis--greenray-aioOPSApache-2.0certificationdgxexam-prepgpukubernetesncp-aio agreed 2026-10-23

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/RehmanaYounis/badge.svg)](https://hub.xerj.org/contributors/RehmanaYounis)

Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.