After two years of using AI coding agents, the author discovered that while AI-generated code looks good in isolation and passes code reviews, it creates "slop" when viewed holistically. AI agents lack respect for overall codebase structure, architectural integrity, and neighboring patterns. Despite impressive individual pull requests, the cumulative result was unmaintainable code that couldn't be shipped to users. The author returned to manual coding, finding it faster and more productive when accounting for total cost, not just code generation speed.
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