Chain-of-thought (CoT) prompting asks the AI to explain its reasoning before writing code. Instead of jumping to an answer, it walks through the logic first.
Tell the model: "Think through this step by step. What data structures do I need? What edge cases exist? What's the time complexity?" Then ask for implementation.
CoT reduces errors on complex problems. When the model reasons aloud, it catches logical flaws before they become bugs.