Comment by seamossfet
4 hours ago
>You literally ask the agent to do something and it does it
It's not that simple, you have to remember at the end of the day these things are just doing next token prediction. If you don't give it the proper tokens to attend to, then your outputs won't be satisfactory.
You can get stellar outputs from LLMs, but it really is a function of how well you manage your input tokens.
that is to say, you have to be a good dev first and foremost, and no matter how much harnessing you do there is gonna be a limit to the quality of output by the user (otherwise why not just use a no-code tool instead)
(the ironic thing is tho, people starting out with just llms will probably never progress to 'good dev' in the first place...)