Why AI Debugging Fails — and How Prompt Templates Fix It

With 66% of developers finding AI-generated code 'almost right but not quite,' the core problem is that LLMs excel at pattern-matching plausible fixes but fail at systematic root-cause investigation. This guide translates 10 human debugging techniques into 5 reusable prompt blocks, enabling AI to diagnose problems methodically rather than masking them with surface-level fixes.