I’ve noticed something similar in my own workflow.
Codex becomes much more useful once the project grows beyond simple prototyping.
For small tasks, many AI tools feel comparable. But in larger repositories, I started valuing:
context recovery multi-file consistency debugging support architecture awareness
more than just raw code generation speed.
I still use different tools for different situations, but Codex has been especially helpful for cleanup and recovery when things become messy.
Curious what workflows other people here are using with Codex.