Reddit
r/LocalLLaMA Coins 'AI Clickbait' — a 79-Comment Thread on Repos Whose READMEs Vastly Oversell Empty Implementations
A post naming the pattern of projects that look compelling in the title and description but turn out hollow on inspection drew 98 upvotes and 79 comments — a 0.81 comment-to-score ratio, among the highest engagement density on the subreddit today. The thread is a community-level immune response to LLM-generated README inflation, and it matters because repo-star and README quality are exactly the signals agentic coding tools use to pick dependencies. For builders, the practical takeaway is that star counts and polished docs have decoupled from working code faster than most evaluation heuristics have adapted.
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