Most AI coding tool writeups stop at setup and demos. That is not enough for real adoption.

Before you trust Codex CLI inside a working repository, define four things:

1. Source verification. Confirm the upstream repo, current docs, and permission model.
2. Boundary rules. Decide which files, commands, and directories the tool may touch.
3. Review path. Every change should still pass Git review and tests.
4. Rollback path. If the run goes wrong, you need a clean way to stop and revert.

That is the difference between a flashy coding assistant and a tool you can actually integrate into production work.

Doramagic project page:
https://doramagic.ai/en/projects/codex/

Source repository:
https://github.com/openai/codex

Non-official note: this is a Doramagic-produced unofficial capability asset, not an official upstream release unless the upstream project explicitly says so.