duzui9039

Corpus Hub contributor since 2026-10-22

duzui9039'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

24files

3,300lines

★ 3GitHub stars on repo

Totals across every corpus @duzui300 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 diglota corpus

duzui300/diglota: A reading-first, dual-language learning platform for mastering Spanish in context

Look up how diglota implements ai, language-learning, with answers cited to file and line.
Reuse a worked example: the commit “Update export of the diglot reader” (24 files · Python).
Answer from diglota's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does diglota handle “Update export of the diglot reader”?
How does diglota implement ai?
What does packages/win do in diglota?

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

Search the GitHub repository duzui300/diglota with XERJ (https://hub.xerj.org/corpus/duzui300--diglota).
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/duzui300/diglota diglota && git -C diglota checkout 3f6ba5202f77ae74726ae1e244704a1dcf453c5d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./diglota --url http://127.0.0.1:9200 --prefix diglota --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: AGPL-3.0. Read it for the approach only, do not copy code.

corpus duzui300--diglota · AI, prompts and agents
Related corpora: agentops, simonw-llm, strangedoctor073-alt/ai-pr-reviewer, beatwad/LinkedIn-AI-Job-Applier-Ultimate
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 3

duzui300/diglota

3f6ba5202f Update export of the diglot reader

selected commit: 24 files · 3,300 lines · Python · packages/win, the project root, packages/web

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

selected · in licence reviewcorpus duzui300--diglotaAIAGPL-3.0ailanguage-learning agreed 2026-10-22

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/duzui300/badge.svg)](https://hub.xerj.org/contributors/duzui300)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.