Over the past few years, AI assistants have quietly moved the main bottleneck in software development away from “how do I implement this?” to “is this even worth building?”. Tools like Cursor, Claude, Copilot, and others can now scaffold entire projects in minutes, write tests, and refactor code, which makes implementation skills less of the limiting factor. The part I’m most curious about is the uncomfortable side: when almost anything can be built quickly, how do we decide what not to build, and what futures we’re normalising every time we press deploy? I wrote this after seeing the latest AI developments, and I’m convinced many of you are thinking the same. submitted by /u/jsamwrites
Originally posted by u/jsamwrites on r/ArtificialInteligence