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We explore the difference between \"vibe-coding\" (hoping AI will solve your problems) and using AI as a tool to enhance your mastery. Chris reveals specific examples of AI coding gone wrong at his company, why unit tests generated by AI can become technical debt, and how he actually uses AI to get productivity gains without sacrificing understanding.\n\nWe also discuss Chris's journey from LLVM to Mojo, the parallels between today's AGI hype and the 2017 self-driving car predictions, and how developers can build skills that differentiate them in an AI-saturated market. 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