Except in this case the monkeys are pretty good at coding as long as you have enough bananas (tokens). They can follow directions pretty accurately and work independently for at least short periods and incrementally test the work even if you’re not present onsite monkey-handling all the time. I don’t understand this hard anti-ai stance from open-source groups except as a submission volume issue. If and when nearly the entire professional industry changes to LLM-based code in most cases, what are they going to do to find those relatively few people who are still willing to write everything manually and spend their spare time maintaining these projects?
Perhaps one day we’ll finally understand the value of simpler software that moves ever-closer to “complete” (simple maintenance only), rather than constantly reinventing Zawinsky’s Law.
It’s ok for software to be replaced when something better comes along for a new generation, but what I wouldn’t give for more well-maintained tools that are feature complete.
What is the modern version of Zawinsky’s Law, anyway? Every program expands until it contains a web browser (Electron), notifications, and a chatbot?
