tasuki /

continugo

The game of go, freed from the tyranny of the grid

A new way for AI to search for data

View on GitHub

1GitHub stars

JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 122b96e0f0 (2026-10-18).

Selected work

Vít Brunner
@tasuki

“Faster”. 13 files, 676 lines in src, benchmarks, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. 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

Example questions

Where does continugo handle “Faster”?
What does benchmarks do in continugo?

The prompt

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

Search the GitHub repository tasuki/continugo with XERJ (https://hub.xerj.org/corpus/tasuki--continugo).
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/tasuki/continugo continugo && git -C continugo checkout 122b96e0f0498ced775651be3b9344da9d905f0a
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./continugo --url http://127.0.0.1:9200 --prefix continugo --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.

Vít Brunner API design and specification corpora

Selected work and consent: the XERJ registry.