multi-platform-deployer

Universal CLI + toolkit for deploying Django/Flask/FastAPI apps to Render, Railway, Vercel, and Heroku from a single workflow

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

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b078c24fae (2026-10-25).

Selected work

Badee Esmandar
@Badee2000

“Fix Vercel, Railway and Heroku deployers against their official docs”. 7 files, 304 lines in tests, src/multi_platform_deployer.

Licence

The repository

MIT

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

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-30. 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

clideployementdevopsdjangofastapiflaskherokupython

Example questions

The prompt

Paste it into your AI agent. It clones Badee2000/multi-platform-deployer at the pinned commit and indexes it on your machine.

Search the GitHub repository Badee2000/multi-platform-deployer with XERJ (https://hub.xerj.org/corpus/badee2000--multi-platform-deployer).
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/Badee2000/multi-platform-deployer multi-platform-deployer && git -C multi-platform-deployer checkout b078c24faeb872ef4774d061cd046fb8b312e1b5
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./multi-platform-deployer --url http://127.0.0.1:9200 --prefix multi-platform-deployer --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.