From experimentation, I need to coach the models quite closely in order to get enough value. Letting it loose only works when I've given very specific instructions. But I'm using Codex and Clai, perhaps Claude code is better.
He is also one of our worst performers.
At the moment with one claude + manually fixing crap it produces I am faster at solving "easier" features (Think add API endpoint, re-build API client, implement frontend logic for API endpoint + UI) faster than if I write it myself.
Things that are more logic dense, it tends to produce so many errors that it's faster to solve myself.
> it tends to produce so many errors
I get some of the skepticism in this thread, but I don't get takes like this. How are you using cc that the output you look at is "full of errors"? By the time I look at the output of a session the agent has already ran linting, formatting, testing and so on. The things I look at are adherence to the conventions, files touched, libraries used, and so on. And the "error rate" on those has been steadily coming down. Especially if you also use a review loop (w/ codex since it has been the best at review lately).
You have to set these things up for success. You need loops with clear feedback. You need a project that has lots of clear things to adhere to. You need tight integrations. But once you have these things, if you're looking at "errors", you're doing something wrong IMO.