Guide

Prompt engineering overview (Claude docs)

Anthropic · docs.anthropic.com

The living reference for every major technique: examples, XML structure, chaining, roles.

Open on docs.anthropic.com ↗

It answers 2 questions

  1. How do I write research prompts that get consistently better answers?
  2. Prompt engineering, RAG, or fine-tuning: which one does my product actually need?

Read with it

  1. Nine hands-on chapters that take you from novice to competent prompter in a weekend. github.com Course Anthropic's Interactive Prompt Engineering Tutorial Anthropic
  2. A PM-friendly decision guide with real cost and time estimates for each rung of the ladder. news.aakashg.com Article RAG vs Fine-tuning vs Prompt Engineering: The Complete Guide Aakash Gupta (Product Growth)
  3. A neutral, definition-first explainer you can hand to any teammate. ibm.com Article RAG vs fine-tuning vs prompt engineering IBM
  4. The lab's own framing of the successor skill to prompting: keep context informative yet tight. anthropic.com Article Effective context engineering for AI agents Anthropic
  5. The complementary view from the biggest orchestration framework, with concrete patterns. langchain.com Article Context Engineering for Agents LangChain
  6. Runnable code for the context techniques the essays describe. platform.claude.com Guide Context engineering: memory, compaction, and tool clearing (Claude Cookbook) Anthropic
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