祈愿Qiii
祈愿Qiii'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.
Totals across every corpus @Qiyuanqiii 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 open-code-review corpus
alibaba/open-code-review: Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent…
- Look up how open-code-review implements agent, code-review, code-review-assistant, with answers cited to file and line.
- Reuse a worked example: the commit “generate provider catalogs from Go registry” (7 files · TypeScript, Kotlin).
- Answer from open-code-review's real TypeScript source instead of memory (AI, prompts and agents).
- Where does open-code-review handle “generate provider catalogs from Go registry”?
- How does open-code-review implement agent?
- What does extensions do in open-code-review?
Search the GitHub repository alibaba/open-code-review with XERJ (https://hub.xerj.org/corpus/alibaba--open-code-review). 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/alibaba/open-code-review open-code-review && git -C open-code-review checkout f93ff155ddac3b22a9290cddc1645b91ca15eb2d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./open-code-review --url http://127.0.0.1:9200 --prefix open-code-review --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 alibaba--open-code-review · AI, prompts and agents
Related corpora: autorag, controlflow, JetBrains/thinkrail, truefoundry/trueforge
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
alibaba/open-code-review
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
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.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/Qiyuanqiii)
Included with the author's permission (email, 2026-10-06), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.