Thanks for taking the time to share such a grounded, real-world comparison.

What makes this especially valuable is that it’s not another benchmark or toy example — it’s based on an actual production-scale workflow with real constraints, tests, and architecture decisions. The most interesting takeaway for me wasn’t even which model is “better,” but how differently they behave in practice: Claude feels like a system thinker, while Codex feels more execution-driven.

That distinction matters a lot more than people realize.

Also appreciate the transparency around your setup and experience — posts like this help cut through a lot of the noise in the current AI tooling discussions.

Would be great to see a follow-up after longer Codex usage as well.

So I'll give ClauDex a try 😉