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Evaluating web coding LLMs with real-world fidelity reveals that even state-of-the-art models still struggle with aesthetics and framework-specific nuances.
Agentic coding models can achieve near-SOTA performance by specializing in distinct coding domains before unifying them via on-policy distillation.
