A lot of people here seem to be living in a different universe than me or simply don't know how to work with AI. I think detractors believe you should just let AI do the job blindly instead of leveraging it as a tool to accelerate you. They get mad at Excel for the poor investment returns. At this point, this is such a strawman, it isn't worth counter arguing. I think I'll abandon this discussion and keep using AI qu…
> A lot of people here seem to be living in a different universe than me I feel this way on this topic too. > I think detractors believe you should just let AI do the job blindly instead of leveraging it as a tool to accelerate you. The problem is; how _should_ I use AI? On a previous thread, I had two replies to the same comment, one saying "provide the LLM all the context it needs and let it go ham", and the other…
if the complexity is high but you know how the task is to be done then what you can do is divide the task into pieces yourself or with the help of the LLM and use an LLM for each piece.
if the task is complex and you don't have a good idea how it is to be done then you need to start exploratory work with the LLM (multiple sessions, don't reuse the sessions for code).
how to use an LLM correctly is a skill in and of itself. the people who say that LLM's are bad either haven't used any good ones and have such disorganized thinking processes that they are unable to encode them into English good enough for an LLM.