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As AI agents increasingly write code, understanding that code has become a critical bottleneck—not primarily for verification, which agents are getting better at themselves, but for human participation in the creative process. The speaker proposes drawing from educational techniques like explanations, quizzes, and interactive micro-worlds to help developers build the conceptual understanding needed to actively guide and evolve agent-generated systems over multiple development loops.
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