AI-generated code needs systematic review to catch predictable flaws

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AI coding agents produce syntactically clean code that often compiles successfully. However, this fluent output can mask common, predictable flaws. A DEV Community article argues that vague impressions or casual skimming are insufficient for reviewing such code. The article recommends using a structured checklist across five axes to target specific blind spots. These axes include logic, security, architecture, performance, and test quality.

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