tjko /
jpegoptim
jpegoptim - utility to optimize/compress JPEG files
A new way for AI to search for data
1,826GitHub stars
What XERJ indexed
Selected work
“Add --strip-ai option to remove AI generation metadata”. 6 files, 477 lines in the project root, test.
Licence
The repository
GPL-3.0
From GitHub's licence detection. A person still checks the LICENSE file at the pinned commit.
The XERJ corpus
Approach only
The author agreed by email on 2026-10-23. 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
image-optimizationlibjpegjpegoptimjpeg-encoder
Example questions
- How does jpegoptim implement image-optimization?
- Where does jpegoptim handle “Add --strip-ai option to remove AI generation metadata”?
- Show the libjpeg code in jpegoptim.
The prompt
Paste it into your AI agent. It clones tjko/jpegoptim at the pinned commit and indexes it on your machine.
Search the GitHub repository tjko/jpegoptim with XERJ (https://hub.xerj.org/corpus/tjko--jpegoptim). 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/tjko/jpegoptim jpegoptim && git -C jpegoptim checkout 4310d5497bf957b425ace94731dd3940de4da3f4 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./jpegoptim --url http://127.0.0.1:9200 --prefix jpegoptim --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
Matteo CroceAPI design and specification corporaDevelonaut/bnto
Selected work and consent: the XERJ registry.