Books

You leave Claude Code running and come back to something missing. This book is arranged by the accident, not the mechanism: databases dropped, files deleted, git history rewritten, the rewind command taking work with it. Three of the four get the exact hook that blocks the command before it runs, with the recovery if it already happened; no PreToolUse hook sees the rewind command, and the book gives the settings-level lever and names the one place a refusal could still live. Appendix B prints all 195 commands the guards were fired at, refusals and allowances both.

Do you love commercial coding agents like Google Antigravity and Claude Code? So do I! However I often use local agentic coding tools and this book will help you get started quickly.

Learn Claude Code by building real projects. This hands-on companion turns the Claude Code Masterclass workshop into a practical self-paced guide for planning, coding, testing, reviewing, refactoring, and shipping software with AI.

This short book introduces process data scientists to knowledge graphs and GraphRAG, a powerful combination that overcomes the limitations of vanilla RAG when answering the kind of cross-document, relationship-heavy questions that process engineers usually care about. With a hands-on, application-driven approach, the book walks readers through the complete pipeline: designing an ontology for plant data, using LLMs to extract entities and relationships from incident reports, building and querying the graph in Neo4j, and finally assembling everything into a demo web application.

Ninety-two C# features, from C# 5 to C# 14, organized by the problems they solve — with verbatim code from five runnable projects and seven production-ready patterns, all on .NET 10 LTS.

A practical guide to Claude Code, written with Claude Code.Over 300 pages built on the official Anthropic documentation and verified on Claude Code v2.1.311: from installation to Plan Mode, CLAUDE.md, context management, permissions, Skills, subagents, hooks, MCP and plugins, with real examples on WordPress and Node.js instead of slide-deck demos. It opens with a foreword written by Claude Opus, which read the manuscript and commented on it candidly.The book is free: pay-what-you-want with a $0 minimum, you decide whether and how much to contribute. The Creative Commons BY-SA 4.0 license lets you redistribute and modify it, as long as you credit the source and keep the same license.

Not another AI coding tutorial. A DX engineering book on using Claude Code to reduce developer friction - backed by METR, DORA, and Faros AI data. Processes first, then tools. 80% deterministic, 20% AI.

A practical front-end debugging guide to the tools and techniques required to debug, optimize and monitor your web applications. This handbook helps you gain the fundamental and deep knowledge of a comprehensive toolset, from Chrome DevTools and framework extensions to integrated IDE debuggers.

A book designed to help you transition from merely knowing Python to cracking Leetcode patterns. This book explains core DSA concepts through clear, intuitive analogies and walks you through the most important Leetcode patterns. If you're aiming to ace your next coding interview, this is the book I wish I had when I started.

AI is reshaping industries and products. This book helps Product Managers understand how to use AI tools to plan, design, and deliver great products. It explains the AI stack and strategic frameworks for integrating AI features into products; how to use GenAI to perform customer discovery, market research, and prototypings; and how the Product Development Life Cycle and the Model Development Life Cycle intersect when creating AI-driven products.

The easiest (and shortest) entry point to Event Storming and Domain-Driven Design you will find for free. I designed this book to be as close to a workshop experience as possible, and I did my best to make it so. Instead of focusing solely on abstract concepts, you will follow a real-world case study throughout the chapters.

This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

Python is awesome, Kubernetes is awesome too. Use the combined power of both to create highly available Python application, declarative data processing task, and all sort of automation tasks.

Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods and applications. All in around only 150 pages!