Structured prompting is an emerging critical skill for modern developers to master, enabling them to effectively use AI as a coding partner. By understanding how to craft effective prompts and leveraging various techniques such as few-shot learning, chain-of-thought reasoning, self-consistency, skeleton prompting, output schemas & format directives, configuration parameters, prompt anatomy, linting, and LLM-powered self-linting, developers can harness the power of AI to generate high-quality code while maintaining control over structure, determinism, creativity, and consistency. This approach mirrors traditional software development practices, such as testing and version control, allowing developers to confidently ship AI-powered features and build robust, reliable systems.