As AI companies rave about how their products are revolutionizing productivity, Senator Bernie Sanders wants the tech industry to put its money where its automated mouth is.
So do you frame the problem to the LLM, get it to spit out an example piece of code and then run through that initial attempt to get an idea of how to approach the problem? Kind of like prototyping the problem?
I take it you find that more efficient than traditional code planning methods? Or do you then start building flow charts/pseudo code from that prototype and confirm the logic to build more readable or efficient code?
So do you frame the problem to the LLM, get it to spit out an example piece of code and then run through that initial attempt to get an idea of how to approach the problem? Kind of like prototyping the problem?
I take it you find that more efficient than traditional code planning methods? Or do you then start building flow charts/pseudo code from that prototype and confirm the logic to build more readable or efficient code?
Yes. Maybe? I don’t know traditional code planning methods. I guess?