My anecdote is that I am in cloud consulting specializing in app dev. 90%+ of my projects are greenfield development. Before LLMs got good enough, there were

My anecdote is that I am in cloud consulting specializing in app dev. 90%+ of my projects are greenfield development. Before LLMs got good enough, there were projects I would scope with the expectation of having one junior consultant do the coding grunt work - simple Lambdas, Python utility scripts, bash scripts, infrastructure as code, translating some preexisting code to the target language of the customer. This is the perfect use case for ChatGPT. It’s simple well contained work that can fit in its context window, the AWS SDKs in various languages are well documented, there is plenty of sample code, and it’s easy enough to test. I can tell it to “verify all AWS SDK functions on the web” or give it the links to newer SDK functionality. I don’t really ever need a junior developer for anything. If I have to be explicit about the requirements anyway, I can use an LLM. And before the the gate keeping starts, I’ve been coding as a hobby in 1986 and started coding in assembly language then and have been coding professionally since 1996.