Curing Comprehension Debt: Why Your LLM Hallucinates Your Code

AI assistants often fail not because of model limitations, but due to 'comprehension debt' where code intent is poorly captured. By refining naming conventions and explicit type definitions, developers can transform their codebase into a readable map that maximizes AI performance and accuracy.