[pizza234]

Very hard to estimate, depending on the domain, I'd say 1.5-2x as much.

When it comes to programming in languages and frameworks I'm familiar with, there is virtually no increase in terms of speed (I may use it for double checks), however, it may still help me discover concepts I didn't know.

When it comes to areas I'm not familiar with:

- most of the time, the increase is substantial, for example when I need a targeted knowledge (e.g. finding few APIs in giant libraries), or when I need to understand an existing solution - in some cases, I waste a lot of time, when the LLM hallucinates a solution that doesn't make sense - in some other cases, I do jobs that otherwise I wouldn't have done at all

I stress two aspects:

1. it's crucial IMO to treat LLMs as a learning tool before a productivity one, that is, to still learn from its output, rather than just call it a day once "it works"

2. days of later fixing can save hours of upfront checking. or the reverse, whatever one prefers :)