What I like most about gpt coding models is how predictable of a lever that thinking effort is.

Xhigh will gather all the necessary context. low gathers the minimum necessary context.

That doesn’t work as well with me for Opus. Even at max effort it’ll overlook files necessary to understanding implementations. It’s really annoying when you point that out and you get hit with an”you’re absolutely right”.

Codex isn’t the greatest one shot horse in the race but, once you figure out how to harness it, it’s hard to go back to other models.