#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.
Learn how modern LLM inference engines work by building one from scratch in Rust. From transformers and tokenization to KV caching, quantization, batching, and GPU optimization, this book combines theory, hands-on code, and performance engineering to help you create fast, production-ready AI systems.
Stop fixing the same AI agent mistake twice. Turn each repeat into a small, tested guard: 34 pattern cards, 26 drills you can run offline, and free companion code.
We just accept that software is inherently imperfect, that all software must contain bugs, and we design our development processes around that. But what if it were possible to write correct software? What if we could consistently develop clean, maintainable software that works perfectly, all the time? And what if it were cheaper, faster and easier to write correct code than to write the buggy variety? What then? Flawless software, delivered faster.
A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.
Are you a VP or Head of Engineering considering the best quality engineering model for your company? Are you a director of Engineering tasked with rolling out a Quality Coach Model? Are you a test lead or software tester shifting to a quality coach role? The Quality Coach Handbook is your practical guide to shifting to a model where the whole team owns quality and in particular software engineers design, build, test and support software. Print version: Paperback and hardcover are available on Amazon. Use your country's Amazon site (e.g., Amazon.com.au for Australia) to minimise shipping time and cost.
A two-part study guide written against the Claude Certified Architect blueprints, Foundations (CCAR-F) and Professional (CCAR-P). Organised domain-by-domain and weighted to match each exam, it teaches the architectural judgement and anti-pattern recognition the exams reward, not a feature tour, across Claude Code, the Agent SDK, the Claude API, and MCP.
“Happily purchased. Handy to have these in one place. Thank you!” — Kent Beck “Excellent new thinking on Domain-Driven Design. It's full of real practical experience in getting the most value from domain modelling. Just like the Eric Evans' DDD book, this gives more insight each time you read it.” — Ian Russell
Most organisations are trying to fix the wrong things. This book names the dysfunctions they keep running into and explains, through Open Systems Theory, why they keep coming back.
"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." —Karolis Urbonas, Head of Machine Learning and Science at Amazon
This book will help you with interview preparation for landing high-paying software engineering jobs in the financial markets industry – Hedge Funds, Banks, Algo Trading firms, HFT firms, Exchanges, etc. Questions that are comparable difficulty level to those asked at top financial firms.
Thirty-eight conversations from Dave Farley's Engineering Room podcast, now in book form. Kent Beck, Martin Fowler, Jez Humble, Nicole Forsgren, Eric Evans, Kelsey Hightower and many more talk candidly about what it really takes to build great software.
Build Claude into a reliable specialist for your domain. The Claude Skills Handbook takes you from the first idea through architecture, implementation, testing, security, deployment and monitoring, with practical patterns and working examples throughout. Learn how to build Skills that scale, stay maintainable and work in the real world.
Most developers can build a web server with a framework. Far fewer understand what happens underneath. Rust from Sockets to Servers takes you from raw TCP sockets to a production-ready web server built in Rust, giving you a deep understanding of HTTP, async programming, TLS, routing, and the foundations behind every modern web application.
Modern cloud-native applications generate massive volumes of telemetry data, making observability increasingly expensive and difficult to scale. While OpenTelemetry has become the industry standard for distributed tracing, traditional tail-based sampling architectures often require stateful collector clusters with significant memory and processing overhead. Rethinking OpenTelemetry Tail-Based Sampling explores how Event-Driven Architecture (EDA) and event mesh technologies can be used to address these challenges. Through practical examples, architectural analysis, and implementation considerations, this book examines OpenTelemetry sampling strategies and presents an alternative approach that externalizes trace buffering and sampling coordination beyond the collector layer. Whether you are an observability engineer, platform architect, integration specialist, SRE, or cloud-native practitioner, this book provides practical guidance for designing scalable, resilient, and cost-effective distributed tracing platforms.