The rise of large language models has created an illusion of lower barriers to entry in software development. As someone who has written code since age 11 and worked on distributed systems, databases, and search, I've observed a troubling trend. Large language models have democratized coding, but many new developers lack both the technical skill and aesthetic judgment needed to create meaningful applications.

This problem manifests in the flood of derivative, poorly crafted apps on platforms like Hacker News. The core issue isn't that people use AI tools to generate code, but rather that they lack sufficient skill and taste to clear the threshold for quality work. Taste and skill form a magic quadrant where too many overestimate their abilities. I've seen countless examples of obvious vibe-coded applications that are technically unsound and creatively bankrupt, saturating the market with derivative ideas.

OpenClaw serves as a recent example - technically problematic but popular due to its tasteful execution. The current situation mirrors the crypto boom's illusion that anyone can get rich. Most won't succeed because the real barrier has always been taste, not technical capability. LLMs amplify this challenge by making it easier for people to publish every half-baked idea. This educational period will likely self-correct as developers learn proper etiquette or face disappointment, but until then, the signal-to-noise ratio continues to degrade.