AI Code Bug Taxonomy: Silent Failures to Slopsquatting (2025)
Series Orientation: This article is Part 3 of the AI Code Review & Vibe Coding series, examining the unique failure modes of AI-generated code. For the broader business context, see the Series Executive Summary. When engineers first review AI-generated code, they often encounter a counterintuitive phenomenon: the code looks right. It passes compilation. The tests are green. The function signatures are clean. The variable names are descriptive. And somewhere inside, there is a logic error that will silently corrupt your data, or a missing authorization check that will expose every user record to the first person who thinks to try a simple query manipulation. ...