Calling all AI OS builders: What's your experience with Codex (and the 20x Pro limits)?

Hey builders! 🚀

Quick question for anyone currently architecting or messing around with an AI OS setup.

I’m weighing my options for the core engine and looking closely at OpenAI Codex. Before I commit fully to it, I wanted to pick the brains of this group:

Is Codex a solid foundation for an AI OS? How well does it handle the background automation, system-level task execution, and sandbox management compared to other models out there right now?
What’s your actual build experience? If you’ve built or prototyped an AI OS using Codex, what did the reality look like? Any major roadblocks with context windows, agentic drift, or state management?
How generous is the usage on the high-tier plans? Specifically, if I'm looking at the $200 Pro subscription with 20x usage limits, does it actually hold up under heavy, multi-step agentic loops, or do you still find yourself hitting a wall during intense dev sessions?
Would love to hear your raw feedback, architecture tips, or if you ended up switching to a pay-as-you-go API model (like Claude Code) for better reasoning and fewer caps.

Also, a huge shoutout and thanks to Nate for putting this community together. The insights dropping in here lately have been gold.

Drop your thoughts below! 👇

Yes, 20x usage is plenty

No, still hit walls

Sticking to Plus / API

Codex won't work for AI OS

Go for Claud Code

1 vote

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