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It all seems to depend on what you are doing. The more niche and technical the task, the less the AI can help. If you are just generating crud and points for a

It all seems to depend on what you are doing. The more niche and technical the task, the less the AI can help. If you are just generating crud and points for a common web language and framework, it can be an 80% boost. I think the real problem with this is that people aren't differentiating these different types of work when they give these numbers.

ickyforce 3y ago
It's not just the type of work but also experience. Here are two cases: 1. After working for many years in Java I needed to build a service. I spent few days designing it and then a month on implementation. I used DBs and libraries I knew very well. I didn't need to access google/stackoverflow, I didn't need to look up names of (std)lib methods and their parameters and if something wasn't working it was fairly obvious what I needed to change. 2. Recently I wanted to create a simple page which fetched a bunch of stuff from some URLs and showed the results, simple stuff. But with React since that was what frontend team was using. I never used React and rarely touched web in the recent years. Most of my time was spent googling about React and how exactly CORS/SOP work in the browsers, and with polishing it took a couple of days. I'm pretty sure that in case 1) AI wouldn't help me much. Maybe just as a more fancy code completion. In case 2) AI would probably be a significant time save. I could just ask it to write some draft for me and then I could make few tweaks, without having to figure out React. But somehow nobody quantifies their experience with the languages/tools when they are using AI - I'm sure there's a staggering difference between 1 month and 10 yoe.