Odyssey
Learn Data Science and Machine Learning by writing code. An offline desktop app with lessons, quizzes and auto-checked exercises. No AI, no
What XERJ indexed
Selected work
“Add the ML System Design section to the System Design path”. 23 files, 1,508 lines in content.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
coding-exercisesdata-sciencedesktop-appeducationenglishinteractive-learninglearning-platformmachine-learning
Example questions
- How does Odyssey implement coding-exercises?
- Where does Odyssey handle “Add the ML System Design section to the System Design path”?
- What does content do in Odyssey?
The prompt
Paste it into your AI agent. It clones AlicanKaya192/Odyssey at the pinned commit and indexes it on your machine.
Search the GitHub repository AlicanKaya192/Odyssey with XERJ (https://hub.xerj.org/corpus/alicankaya192--odyssey). 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/AlicanKaya192/Odyssey Odyssey && git -C Odyssey checkout d2190fb1b2c8934a988b039e0b323c81413c3c39 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Odyssey --url http://127.0.0.1:9200 --prefix odyssey --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.
Related
Alican KayaAI, prompts and agents corporaopennyai-legal-nlpadalflowcognitario-labs/rioray-project/raygradient-divergence/agentic-retail-foundations
Selected work and consent: the XERJ registry.