A critical take on why AI coding tools consistently underperform on front-end development tasks. The author identifies four core reasons: AI trained on outdated, template-heavy data; LLMs cannot render or visually perceive output; they lack understanding of architectural intent (SDD, BDD, state machines); and they have zero
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