DockSight

Generative UI platform for AI-powered Docker troubleshooting. Evidence-linked diagnostic cards and user-confirmed actions for containers…

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

Python, TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 3c69d1ac9d (2026-11-01).

Selected work

Neizvestnyj
@Neizvestnyj

“add host-wide diagnostics and improve public MVP reliability”. 98 files, 6,466 lines in backend, frontend, examples.

Licence

The repository

Apache-2.0

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

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-11-03. 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

devopsdiagnosticsdockerdocker-composedocker-swarmfastapigenerative-uillm

Example questions

The prompt

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

Search the GitHub repository Neizvestnyj/DockSight with XERJ (https://hub.xerj.org/corpus/neizvestnyj--docksight).
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/Neizvestnyj/DockSight DockSight && git -C DockSight checkout 3c69d1ac9d2316bf84582ec230c5290779967cf7
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./DockSight --url http://127.0.0.1:9200 --prefix docksight --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.