The article explores the dangers of relying on AI-generated outputs in software development, highlighting how AI can create a false sense of certainty. It emphasizes the importance of distinguishing between proof, evidence, and belief, urging developers to critically assess AI’s role in decision-making.

This article outlines a method for minimizing errors in coding through defensive epistemology. It emphasizes the importance of making explicit predictions before actions and learning from failures to refine one's understanding of reality versus models. The approach is designed to prevent compounding mistakes and improve decision-making in programming.