aminHZDEV

Corpus Hub contributor since 2026-10-13

aminHZDEV'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

23files

1,629lines

★ 14GitHub stars on repo

Totals across every corpus @aminHZDEV 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 OpenUnderstand corpus

m-zakeri/OpenUnderstand: An open-source implementation of Understand Python API

Look up how OpenUnderstand implements static-analysis, understand, java, with answers cited to file and line.
Reuse a worked example: the commit “bug fixed” (23 files · Python).
Answer from OpenUnderstand's real Python source instead of memory (API design and specification).

Example questions

Where does OpenUnderstand handle “bug fixed”?
How does OpenUnderstand implement static-analysis?
What does openunderstand do in OpenUnderstand?

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

Search the GitHub repository m-zakeri/OpenUnderstand with XERJ (https://hub.xerj.org/corpus/m-zakeri--openunderstand).
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/m-zakeri/OpenUnderstand OpenUnderstand && git -C OpenUnderstand checkout 576c524644e4959225edfa2a34333047016d96b2
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./OpenUnderstand --url http://127.0.0.1:9200 --prefix openunderstand --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 m-zakeri--openunderstand · API design and specification
Related corpora: bandit-plugins, checkov, saintsHr/Sulfur, jyt6640/persona-harness
Search an OpenAPI spec from an agent · Case study: reference coding for agents

Selected work

GitHub ★ 14

m-zakeri/OpenUnderstand

576c524644 bug fixed

selected commit: 23 files · 1,629 lines · Python · openunderstand, scripts

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

selected · in licence reviewcorpus m-zakeri--openunderstandAPIMITstatic-analysisunderstandjavasymbol-tablecompilerantlr4 agreed 2026-10-13

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

Included with the author's permission (email, 2026-10-13), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.