Books

Go beyond the basics of Claude Code with a practical engineering reference built for real-world development. Explore architecture, workflows, security, team adoption and advanced agentic patterns, with concrete commands and working examples throughout. Learn how to use Claude Code effectively, reliably and safely in professional software projects.

Reverse engineering gets a powerful upgrade with Claude Code. Learn how to investigate, understand and reconstruct software you’re authorized to analyze, while keeping evidence, accuracy and reproducibility at the center. From legacy systems to modern codebases, this book turns AI into a practical partner for serious software analysis.

What really makes an AI agent work? It is not just the model, but the system around it. This book takes you inside the architecture, algorithms and engineering behind AI agents, showing you how to build a complete agent harness from scratch in Python and turn it into a working system you can debug, deploy and extend.

Turn a small language model into an AI agent that runs on your own hardware. This practical guide takes you from choosing a base model to fine-tuning, tool use, evaluation and deployment. With reproducible code and real configurations throughout, you'll learn how to build specialized local agents that are capable, efficient and truly yours.

What if your AI agents could learn from their mistakes instead of repeating them? Discover how to build systems that remember past experiences, adapt to new challenges and improve with every task. From memory architecture to practical implementation, this book shows you how to create agents that get better over time.

Ready to put Hermes Agent to work? This practical guide takes you from the basics to real-world automation, covering setup, architecture and workflows for research, writing, development and operations. Learn how Hermes works, how to configure it for reliable results and how to make it a useful part of your daily work.

AI can write code fast, but getting reliable software still starts with clear thinking. This book shows how to turn ideas into precise specifications, then use AI assistants and autonomous agents to build, test and maintain real-world software. Follow a complete project from business problem to production and learn a practical approach to AI-assisted development.

Build reliable LLM applications from first prompt to production agent. AI Engineering Visualized uses memorable doodles, practical Python, RAG, evals, tool calling and safety patterns to help you ship AI systems that work on Monday.

AI coding agents can move fast, but speed without clear intent creates expensive mistakes. This practical guide shows how Behavior-Driven Development turns specifications into a reliable contract between you and autonomous coding systems, helping agents build the right thing, catch problems earlier and produce software you can trust.

AI agents don’t fail because they forget everything. They fail because they remember badly. This book shows you how to engineer memory that stays accurate, efficient and useful over time. From SQLite and PostgreSQL to vector indexes and multi-agent systems, you’ll learn what it takes to build agents that can run for days without losing the plot.

This book shows how to structure project information so that AI produces software that is consistent, predictable, and aligned with your engineering practices.

Agentic AI is everywhere, but what does it actually mean? This book cuts through the hype and explains how AI agents work, how they are built and where they can go wrong. Starting from the basics, it gives you a clear, practical understanding of the technology and what it takes to trust an agent in the real world.

AI has changed the way code is written, but its true impact lies in software engineering. This book explains why specification, architecture, and context have moved to the center of modern development.

Building AI agents is one thing. Making them reliable in production is another. This book explores why agents fail and how to design systems that hold up under real-world conditions. From architecture and engineering patterns to evaluation and operations, it gives technical leaders the tools to build agents they can trust.

Go from AI beginner to confident Claude Code user in just seven days. Learn to build software, automate tedious tasks and tackle complex projects with less effort. Whether you're a developer or simply curious about what AI can do, this practical guide shows you how to turn Claude Code into a powerful tool for getting more done.