“Mistakenly, we thought that by just introducing artificial intelligence and adjusting the design requirements that we had, that that would produce a high-quality product,” said Charles Poon, VP of vehicle hardware engineering, in a briefing this week with reporters.
Yep. I realized that the best use case is just using a LLM as a supercharged StackOverflow, where answers are based on my specific problem.
I just use it as chat, have it configured to give me at least two options as answer, better three. Then I feel still in charge. And if I like a proposed solution I only take it over line by line and tweak it to my liking. So I still “wrote” the code and would rightfully feel responsible for the result (again, like I used StackOverflow).
Never ever would I let it go rampage as agent on my codebase. That’s terrible 😱.