ai-native-dev-stack

Complete AI optimization stack for large codebases: module context, dependency graphs, memory vaults, auto-maintenance and health checks

A new way for AI to search for data
View on GitHub
4GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 8f319adaa3 (2026-09-17).

Selected work

“Multi-Forge v1: production promotion (dev -> main)”. 47 files, 6,515 lines in ainative, tests, scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. 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 Rwanbt/ai-native-dev-stack at the pinned commit and indexes it on your machine.

Search the GitHub repository Rwanbt/ai-native-dev-stack with XERJ (https://hub.xerj.org/corpus/rwanbt--ai-native-dev-stack).
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/Rwanbt/ai-native-dev-stack ai-native-dev-stack && git -C ai-native-dev-stack checkout 8f319adaa32505ecf0a1fd7265d406f12d645383
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ai-native-dev-stack --url http://127.0.0.1:9200 --prefix ai-native-dev-stack --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.