AI Technical Debt: Prompt Debt, Retrieval Debt, and Evaluation Debt
Traditional technical debt lived in the codebase. AI debt is distributed — hiding in prompts, data repositories, and the absence of standardized testing. MIT and S&P Global research shows that 42–95% of AI projects never reach production. The reason often lies precisely there.
