nextRush

A lightweight, modular Node.js framework for building scalable backend systems with TypeScript

A new way for AI to search for data
View on GitHub
6GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit c7e88e74f2 (2026-10-19).

Selected work

“test(runtime) cover the shared runner and the lazy inputs directly”. 6 files, 381 lines in packages/runtime, packages/adapters.

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

backendframeworknodenodejsservertypescriptnextrush

Example questions

The prompt

Paste it into your AI agent. It clones 0xTanzim/nextRush at the pinned commit and indexes it on your machine.

Search the GitHub repository 0xTanzim/nextRush with XERJ (https://hub.xerj.org/corpus/0xtanzim--nextrush).
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/0xTanzim/nextRush nextRush && git -C nextRush checkout c7e88e74f2e44ceef4efd79c380640b6d3127c7d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./nextRush --url http://127.0.0.1:9200 --prefix nextrush --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.