I’m not sure you’re going to get any useful results from this question. Some people find it useful, some people don’t, and unless what you’re using it for matc

I’m not sure you’re going to get any useful results from this question. Some people find it useful, some people don’t, and unless what you’re using it for matches what they’re using it for (which you’re not asking) none of the results you get give you any insight into what you should expect for your use case. Oh well, whatever. Here’s my $0.02; on a large code base that takes up to 30 minutes to do a local type check in typescript, the net benefit of AI is neutral or negative, because the agent can’t loop effectively and check it’s own results. AI scaffolded results are largely irrelevant and don’t use internal design system components or tokens for UI and are generally useless. Objectively measured ticket completion rates are not meaningfully impacted by the use of AI. Out of date documentation leads agents to build incorrect solutions using outdated and depreciated techniques and services. This is true across multiple tools and multiple models used, including sota. 1x It is not more productive. This reflects on my personal experience in the last 8 months of intense (and company mandated) AI usage at work. At home, for small personal projects, I would say it’s closer to the 2x you describe, maybe as much as 3x for building and iterating on rich web UI using react.