Andrew Stellman
Andrew Stellman'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 @andrewstellman 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 quality-playbook corpus
andrewstellman/quality-playbook: The Quality Playbook is an open-source skill that turns AI coding agents into rigorous quality engineers. Point it at your code, in any…
- Reuse a worked example: the commit “Move research to a private repository; update evidence and README” (7 files · Python, Java).
- Answer from quality-playbook's real Python source instead of memory (AI, prompts and agents).
- Where does quality-playbook handle “Move research to a private repository; update evidence and README”?
- What does evidence do in quality-playbook?
Search the GitHub repository andrewstellman/quality-playbook with XERJ (https://hub.xerj.org/corpus/andrewstellman--quality-playbook). 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/andrewstellman/quality-playbook quality-playbook && git -C quality-playbook checkout 10810ba818d8547c05122fd67bcb9df83743e60e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./quality-playbook --url http://127.0.0.1:9200 --prefix quality-playbook --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 andrewstellman--quality-playbook · AI, prompts and agents
Related corpora: agno, prompt-engineering-guide, guidance, guardrails
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
andrewstellman/quality-playbook
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/andrewstellman)
Included with the author's permission (email, 2026-10-21), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.