AI Engineering
Chip Huyen
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products.
Score based on developer article recommendations — not sales data or reviews.
🟢 Developer Verdict
Offers a practical and deep dive into the engineering aspects of building AI products, with a focus on LLMs.
Read this if
- ✓ You want to understand the practicalities of building AI products.
- ✓ You are transitioning into an AI engineering role, especially with LLMs.
- ✓ You seek a current, in-depth perspective on the AI engineering landscape.
Skip this for now if
- ✗ You are new to machine learning and need introductory concepts.
- ✗ You prefer theoretical machine learning research over practical application.
- ✗ You are looking for hands-on coding tutorials for specific AI frameworks.
🔄 Compare & Reading Path
Alternatives
📊 Why Developers Recommend
It provides practical guidance for AI and machine learning work.
Cited by 13 different developers, each bringing their own experience and perspective.
Valued for its practical approach — concepts connect directly to real-world engineering decisions and daily work.
💬 What Developers Say
"AI engineering is no longer optional for senior engineers --- it's foundational."
— somadevtoo · 5 Must-Read Books for Backend Engineers in 2026 · Dec 13, 2025
"AI engineering is no longer optional for senior engineers, it's foundational."
— somadevtoo · 5 Books Every Backend Developer Should Read in 2026 · Jan 30, 2026
"This is the first book you should read on AI Engineering"
— somadevtoo · 7 Must-Read AI and Prompt Engineering Books for Developers in 2026 · Jul 29, 2025
Based on 19 developer article mentions
👤 Who Should Read This
Best for
- • Senior engineers deepening their expertise
- • Career changers transitioning into software engineering
- • Intermediate developers ready to go deeper
Less ideal for
- • Those who haven't written any code yet
- • Readers looking only for quick interview patterns
Explore Similar Books
More books in similar categories — browse to discover your next read.
The LLM Engineering Handbook
Paul Iusztin and Maxime Labonne
View →
Building Agentic AI Systems
Anjanava Biswas and Wrick Talukdar
View →
The AI Engineering Bible
Thomas R. Caldwell
View →
Building LLMs for Production by Louis-François Bouchard and Louie Peters
Louis-Francois Bouchard, Louie Peters
View →
Prompt Engineering for LLMs
John Berryman and Albert Ziegler
View →
Chip Huyen
Mentioned in 56 articles · #13 overall
As an Amazon Associate, we earn from qualifying purchases.
Recommended in 56 Articles
7 Must-Read AI and Prompt Engineering Books for Developers in 2026
AI in Coding: Future Impact in 2025?
10 Must-Read AI and LLM Engineering Books for Developers in 2026
5 Must-Read Books for Backend Engineers in 2026
🤖 From Burnout to Breakthrough: AI in Your IDE
🤖 10 Ways AI Makes You a 10x Developer
Score Trend
Last 90 Days
Articles
47
vs prev 90d
+34
All Time
Unique authors
13
Total mentions
56