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The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph

Latent Space: The AI Engineer Podcast

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AI Perspectives: Chomsky vs. Norvig

This chapter explores the historical debate between Chomsky's formal systems and Norvig's data-driven learning in artificial intelligence. It discusses the development of unique architectures like the 'normsky' and 'BFG' for enhancing coding efficiency and the evolving role of domain-specific languages in AI coding. The conversation also addresses the integration of AI tools with coding protocols, emphasizing the balance between human creativity and automation in software development.

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