A best-selling book. The practitioner's guide to Claude Code in production. Thirty-one chapters covering the agent loop, tools, hooks, MCP, the Claude Agent SDK, permissions, multi-agent orchestration, evals, observability, and cost engineering. Includes a full walkthrough of Anthropic's financial services reference agents. Code from real production systems, not toy examples.
The deepest tutorial and explanation about EventStorming, straight from the inventor.
Deliver What Matters, When It Matters is a practical guide to delivery optimization for teams working in complex environments. Through real-world stories and actionable tools, it helps coaches, product managers, and delivery leaders close the gap between effort and impact.
A practical guide to designing scalable and maintainable frontends. Learn how to think beyond components, model data effectively, shape APIs around real access patterns, and apply modern techniques like pagination, caching, virtualization, and real-time updates. Perfect for engineers preparing for system design interviews or leveling up in complex frontend projects.
This book provides an introduction to the high-level concepts behind query engines and walks through all aspects of building a fully working SQL query engine in Kotlin.
Vector stores don't think — they search. They find fragments that sound like your query, then forget they ever looked. Every session starts from nothing. Every context window is a memory that dissolves at sunset.But the deeper problem isn't amnesia. It's that when agents do remember, they remember in someone else's house — on servers you don't control, in formats you can't inspect, under terms you didn't write.Memory Graph is a book about building something different: persistent, structured, queryable memory that lives inside your application — no external servers, no data leaving your process, no infrastructure you don't own. An embedded graph database that travels with your agent the way a nervous system travels with a body.You'll learn how to model not just facts, but relationships between facts. Causality. Temporal ordering. The layered structure of meaning that makes memory more than a search index. You'll build ontologies that enforce what can be known and how. You'll combine graph traversal with semantic search — so your agents find not just what's similar, but what's connected.The result is an agent that remembers the way you do: structurally, contextually, privately — with memory that belongs to you.
The first book to combine Eventmodeling & Eventsourcing to plan software systems of any size and complexity. NEW CHAPTER "Dynamic Consistency Boundary" COMPANION ONLINE COURSE FOR FASTER LEARNING
This 2026 edition of the best-selling Kubernetes book is fully updated for the latest versions of Kubernetes and the latest industry trends. You won't find a better and more up-to-date book on Kubernetes. Hand-crafted over the past 8 years by best-selling author Nigel Poulton. This book is a masterpiece.
Haskell for FPGA Hardware Design: Use abstractions like monads and lenses to implement 1970's retro-computing devices like arcade machines and home computers.
Dive into 'Node-OPCUA' and explore the world of industrial protocols with the author's proven recipes. Learn how to build exceptional OPC UA clients and servers through hands-on examples, elevating your industrial programming expertise from basic to advanced levels. This guide is key to mastering Node-OPCUA in JavaScript and TypeScript.
A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.Get the paperback version here. Get the Kindle version here.
The book is also available in paperback for $25. Paperback royalties go to OpenIntro (US-based nonprofit), and the optional Leanpub PDF contributions go to authors to fund their time on this book.
How to represent knowledge for LLMs and build memory for agents, I discovered Mark's work on semantic spacetimes. It's more of a theoretical framework from someone who came from physics. But actually, jumping to knowledge representation and reasoning, and trying to answer the question of how to build dynamic and complex systems—semantic spacetimes and promise theories are crucial for the future of agentic systems, in my belief.The semantic spacetime approach gives us answers on how to organize better memory and how to have better knowledge representation that could be understood quite well by LLMs. Vector embeddings actually create a lot of challenges—some spaces and some relations in vector embeddings simply don't exist. We all have this problem where "love my wife " and "hate my wife" while actually quite distant in practice, and also time and dynamics matter
The Rails™ 8 Way is the comprehensive, authoritative reference guide for professionals delivering production-quality code using modern Ruby on Rails. It illuminates the entire Rails 8 API, its most powerful idioms, design approaches, and libraries. Building on the previous editions, this edition has been heavily refactored and updated.
Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.