The 70% problem: Hard truths about AI-assisted coding

In recent years, despite the hype surrounding AI-assisted coding, the software quality hasn't dramatically improved. This article explores why AI tools boost productivity but do not necessarily lead to better software, highlighting that these tools often require substantial human oversight and expertise to correctly shape the generated code. It discusses the knowledge paradox where AI tools aid experienced developers more than beginners by accelerating tasks they already know how to refine. For junior developers, however, this dependency may create a "house of cards" code that fails under pressure due to the lack of fundamental engineering principles.

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