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As AI increasingly generates code in fast-moving companies, the core problem is not code quality but that developers and teams no longer understand their system architecture or the reasoning behind design decisions—they simply ask AI tools to build everything. This has created a crisis of knowledge where engineers work long hours shipping code without comprehension, reading, or thinking critically, leaving no one capable of debugging or maintaining systems effectively.
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