EyeCode

This project was created to understand the architecture of an IDE

A new way for AI to search for data
View on GitHub
2GitHub stars

Java, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 037ea40c32 (2026-10-19).

Selected work

Natan
@natanhnrqe

“bundle pinned Maven 3.9.16 for desktop”. 10 files, 676 lines in src/main, src/test, scripts.

Licence

The repository

GPL-3.0

Checked by a person at the pinned commit.

The XERJ corpus

Approach only

The author agreed by email on 2026-10-19. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: approach only

ideintellij-ideajavalearningmonaco-editorreactsolid-principles

Example questions

The prompt

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

Search the GitHub repository natanhnrqe/EyeCode with XERJ (https://hub.xerj.org/corpus/natanhnrqe--eyecode).
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/natanhnrqe/EyeCode EyeCode && git -C EyeCode checkout 037ea40c32bc24c383e382555c59b926d71a04e3
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./EyeCode --url http://127.0.0.1:9200 --prefix eyecode --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: GPL-3.0. Read it for the approach only, do not copy code.

Related

Selected work and consent: the XERJ registry.