The Evolution of AI Prompting: How 4 Years of Research Inspired My New Claude Code Skill

We use Large Language Models every day to write code across different languages and frameworks. But how does an AI actually reason about our code? I recently read six major research papers published between 2022 and 2026. They trace the entire history of how AI models think, moving from blind trust to a sharp reality check. Rather than merely taking notes, I decided to turn this academic research into a practical tool. I built a custom Claude Code skill called cot-skill-claude-code . It forces the AI to apply the best prompting strategies directly in my terminal. The Golden Age of Prompting In 2022, researchers discovered a technique called Chain-of-Thought (CoT) . They found that asking an AI to explain its logic step by step drastically improved its answers. This mirrors asking a senior developer to explain their architecture before writing a single line of Dart code. By 2023, a new strategy emerged: Least-to-Most Prompting . Instead of solving a massive problem at once, the AI broke