With AI-assisted coding on the rise, I'm starting to wonder if humans will still need code search tools, or if generative models will do it all for us. On the other hand, maybe code search will become even more critical, especially as AI-generated codebases balloon and eventually need thorough refactoring, security audits, or just plain manual debugging.
Context: A friend wrote a semantic code search tool (syng.dev) designed for developers maintaining large or legacy codebases, or for web security folks. It's great, but I'm unsure about how demand might shift if coding becomes more "AI-first." That said, I could see these tools being just as useful (if not more so) for the AI agents themselves when sifting through massive amounts of code.
What do you think? Does code search still have a bright future, whether for humans or AI, or is it fated to become obsolete in the era of "vibe coding"?