Clean Code in the Age of Copilot: Why Semantics Matter More Than Ever
SMRTR summary
Generative AI coding assistants treat your codebase as context for generating code suggestions. Poor code with ambiguous naming and God Classes creates "context contamination," causing AI to generate buggy implementations that mimic bad patterns. Applying clean code principles like descriptive naming, Single Responsibility, and granular unit tests dramatically improves AI accuracy by providing semantic density and clear architectural constraints.
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