Best of · 2026
Prompt Engineering,
ranked.
Books on crafting effective prompts, building LLM-powered applications, and getting reliable outputs from AI models. 2 titles, ranked by 415+ reader reviews on Amazon and Goodreads, weighted for recency and depth.
Methodology
Rankings combine Amazon star averages, Goodreads ratings, mention frequency on r/programming and HN, and recency weight (books older than 8 years lose 10% per year).
Reviews counted
415+
01
James Phoenix, Mike Taylor · O'Reilly Media · 2024
Prompt Engineering for Generative AI
prompt engineering
Covers both text and image generation in one book.
Heavy reliance on specific tools (LangChain, etc.) that date quickly.
Best for: Developers wanting a broad introduction to both text and image generation
02
John Berryman, Albert Ziegler · O'Reilly Media · 2024
Prompt Engineering for LLMs
The Art and Science of Building Large Language Model-Based Applications
prompt engineeringllm
Focuses on understanding why techniques work, not just memorizing patterns.
Heavy GPT-3 focus makes some content feel dated.
Best for: Developers who want to understand the science behind prompt engineering, not just copy patterns
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