James Thomson
James Thomson'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 @jarems421 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 jami-flashcards corpus
jarems421/jami-flashcards: Adaptive AI study platform with exam practice, dual-model marking, flashcards, notebooks, revision planning and a deterministic student…
- Look up how jami-flashcards implements education, flashcards, learning, with answers cited to file and line.
- Reuse a worked example: the commit “Tutor agent: check on another family, only where a slip is plausible,…” (7 files · TypeScript).
- Answer from jami-flashcards's real TypeScript source instead of memory (AI, prompts and agents).
- How does jami-flashcards implement education?
- What does tests do in jami-flashcards?
Search the GitHub repository jarems421/jami-flashcards with XERJ (https://hub.xerj.org/corpus/jarems421--jami). 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/jarems421/jami-flashcards jami-flashcards && git -C jami-flashcards checkout e41f1aa10ac1751f2a5c99507839d4f3ff807e64 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./jami-flashcards --url http://127.0.0.1:9200 --prefix jami-flashcards --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 jarems421--jami · AI, prompts and agents
Related corpora: wysking--postgrad-study-engine, lexbuild, aryan-dani/Utility, quizmill/quizmill
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
jarems421/jami-flashcards
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
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/jarems421)
Included with the author's permission (email, 2026-10-13), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.