I'd say the post deals _strictly_ with the former. LLM code generation absolutely changes community dynamics, what other projects are published, etc.
The other issue I’ve found is that these communities produce novel tools and ideas and AI can iterate on the idea much faster than the original authors. The original author had their own motivations for researching and producing and I can almost guarantee they weren’t reviewing the output of someone’s prompt.
You see this at work too. If I find a problem I want to solve for some personal motivation, I can no longer share with my coworkers what that problem is. Since when I do, inevitably, senior+ engineers and managers vibe code a solution. Often that solution is hacky and they expect others to fix the fundamental problems that exist.
I'd also highlight a third option (really a sub-option of #2) which is competition within the community. One's hobby might be shipping the fastest (such as in cracking communities), and I could very much see this disrupted in today's world.