Ai Prompt Engineering

This is the practical reference you want open when you're writing prompts for production systems. It skips the theory and gives you copy/paste skeletons for structured outputs, RAG workflows, tool-calling agents, and extractors, plus decision trees to pick the right pattern fast. The 2026 updates cover Claude Code specifics like parallel tool execution and positive framing over prohibitions. What I appreciate is the operational focus: it treats prompts like code with version control, regression tests, and security checklists against injection attacks. If you're building with LLM APIs and tired of prompt cargo culting, this gives you the templates and guardrails to ship reliably.