Explores the risks of over-relying on AI for code generation, introducing the concept of 'Endogamic Programming' where AI systems trained on their own outputs create stagnant development cycles. Argues that novice developers who depend too heavily on AI without understanding underlying principles risk accumulating technical debt and stunting their analytical growth. Warns that if AI generates most code without fresh human creativity and problem-solving input, innovation in software development could stagnate.