The Pitfalls of AI Code Generation: Ignoring Underlying Architecture
This article explores the risks of blindly using Agile methodologies and AI code generation tools in software engineering. The author argues that current Agile practices overemphasize the speed of feature development, neglecting the underlying work of system maintenance and architecture. AI code generation tools excel at quickly producing surface-level features but fail to address underlying architectural issues. This is akin to building a house focusing only on decoration while ignoring the foundation, ultimately leading to system collapse. The author urges business leaders to value the underlying work of engineering, avoid sacrificing long-term stability for short-term gains, and suggests learning technical accounting methods to better understand and manage engineering teams.
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