FICture2

FICture2 (FD2D + ImageCore)

A new way for AI to search for data
View on GitHub
1GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 326d3cff22 (2026-11-01).

Selected work

Lee, Eun Suk
@floyd68

“Build and publish the release installer in CI with Visual Studio 2026…”. 4 files, 513 lines in the project root, packaging.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-11-01. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones floyd68/FICture2 at the pinned commit and indexes it on your machine.

Search the GitHub repository floyd68/FICture2 with XERJ (https://hub.xerj.org/corpus/floyd68--ficture2).
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/floyd68/FICture2 FICture2 && git -C FICture2 checkout 326d3cff22e737b0c76caa2f7077fc068d34698a
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./FICture2 --url http://127.0.0.1:9200 --prefix ficture2 --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

Selected work and consent: the XERJ registry.