From the blog post:
> We observe that with AI-based suggestions, the code author increasingly becomes a reviewer, and it is important to find a balance between the cost of review and added value. We typically address the tradeoff with acceptance rate targets.
In the past year since GPT-4 came out, I've also found this to be the case. I'm an ML/backend engineer with little experience in frontend development. Yet, I've been able to generate React UIs and Python UIs with GPT-4 in a matter of minutes and simply review the code to understand how it works. I find this to be very useful!
In the past year since GPT-4 came out, I've also found this to be the case. I'm an ML/backend engineer with little experience in frontend development. Yet, I've been able to generate React UIs and Python UIs with GPT-4 in a matter of minutes and simply review the code to understand how it works. I find this to be very useful!