mingusrude
Joined 5 years ago
Joined 5 years ago
Integration, testing, deployment and production validation activities are also, depending on you setup, available for AI to work on. It depends on the type of stack that you have and how your hosting is set up but with an AI-friendly set up there's a lot of time to be saved here too.
This is the weirdest combination of words I have seen this week. If I own a trampoline, why would my insurance company care? And if they care, why doesn't the market fix this, parents with trampolines would certainly choose other companies.
I can only judge from my own experience but with or without LLMs, these are the codebases that I have worked with during most of my career. To me, much of the question is whether LLMs produce worse code than the me and my colleagues have done in the past and I don't think that's the case. It is however very common that people hold LLMs to a higher standard than human colleagues and then it's not a useful comparison.
This has always been key to me. I've succeeded to identify myself as a runner, as someone who speaks French, as someone who reads books. But my identification as someone who has meaningful programming side-project, who has a garden and so on is to weak to succeed.