A Hacker News commentator argues that AI-assisted development is producing a flood of derivative projects that lack depth and originality. The author observes that Show HN submissions have increased in volume but declined in quality, with vibe-coded projects offering little substantive discussion or novel perspectives.

The critique extends beyond Hacker News, suggesting this phenomenon is widespread across programming communities. While some attribute the trend to newcomers experimenting with AI tools, the author contends the issue runs deeper. AI models struggle with original thinking, and offloading ideation to these systems results in shallow, surface-level concepts rather than innovative solutions.

The author draws a stark analogy: just as using an excavator doesn't build muscle, relying on LLMs for thinking doesn't produce interesting ideas. Original concepts emerge from deep immersion in problems and the process of articulating solutions—experiences that AI-assisted development bypasses. The warning is clear: human creativity atrophies when we delegate too much cognitive work to machines, leaving us with technically functional but intellectually empty projects.