Coding agents work well enough to be useful because they can check their own work. Nevertheless it is too generous to call that reasoning. If they're right 80%

Coding agents work well enough to be useful because they can check their own work. Nevertheless it is too generous to call that reasoning. If they're right 80% of the time and they rerun a prompt if the project won't build, they might be right 95% of the time, or even 99% of the time on the third try. And if you know a bit about coding you're probably able to recognize when to intervene. That's not to denigrate a real productivity booster. It is however a warning to anyone applying LLM-based AI to use cases where you don't have the kind of training corpus and formal framework around correctness that characterizes coding. Coding surely matters. But it also might be a truly unique use case.