explain-this-pls

Analyzes legacy code and explains how the damn thing actually works

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

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 4f794cc9d8 (2026-10-21).

Selected work

LeChat
@Krusty84

“Big LLM reauest has been diveded”. 45 files, 1,683 lines in tests, schemas, src/model.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. 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

The prompt

Paste it into your AI agent. It clones Krusty84/explain-this-pls at the pinned commit and indexes it on your machine.

Search the GitHub repository Krusty84/explain-this-pls with XERJ (https://hub.xerj.org/corpus/krusty84--explain-this-pls).
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/Krusty84/explain-this-pls explain-this-pls && git -C explain-this-pls checkout 4f794cc9d87338012026f8d44b91be4a555734f2
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./explain-this-pls --url http://127.0.0.1:9200 --prefix explain-this-pls --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.