Books

Explore the event-driven architecture (EDA) in a purely functional way. Learn to design and develop distributed systems that scale. Identify common design patterns in such systems. Take your functional programming skills to the next level by joining me in developing a distributed system powered by Apache Pulsar and Fs2 streams, all in Scala 3!

Explore the power of Rust with "Rust Projects: Write an Interpreter". This hands-on guide takes you through building an implementation of the programming language Lox, invented by Robert Nystrom. The book will follow Robert Nystrom's book and the CodeCrafters challenge "Build your own Interpreter", and at the same time will help you to understand strengths and weaknesses of Rust. Whether you're new to Rust or looking to deepen your understanding, this project-based journey offers practical, real-world insights into modern coding. The book contains 40% discount code for CodeCrafters.io!

AI is an amplifier. It magnifies whatever engineering discipline — or lack of it — already exists, which means the bottleneck was never AI's capability; it is the collaboration space you design around it. This book is a six-level progression from early AI panic to sovereign engineering: the discipline of designing the environment in which human and artificial intelligence produce work worth keeping. It moves past prompting into the practices that compound — verification, habitat engineering, specification-first development, and the platform discipline that scales the practice across teams. The habitat is yours to design. Let's build it well.

Official companion guide to the OWASP Juice Shop. Being a web application with a vast number of intended security vulnerabilities, the OWASP Juice Shop is supposed to be the opposite of a  best practice  or  template application  for web developers: It is an awareness, training, demonstration and exercise tool for security risks in modern web apps.

It's never been easier to build an AI agent — and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems with the depth to predict failure before it happens, engineer graceful degradation over catastrophic failure, and take absolute architectural ownership. Get the paperback from amazon.

This book teaches you how to make machine learning models more interpretable.

What really happens inside a neural network? This book explores the tools and ideas researchers use to uncover how AI systems work, from foundational concepts to practical experiments. Learn to separate solid findings from bold claims, develop useful research skills and prepare for a field that is changing as quickly as the technology itself.

Stop guessing what the bytes on disk mean and build the filesystem yourself. Over twelve chapters you implement FAT12 from scratch in C, from the first sector read to formatting a fresh volume, and check every step against a hexdump. Then you boot the exact same code inside your own kernel and watch it write and read files on bare metal.

Build real-world web applications faster with Claude Code by your side. This hands-on guide takes you from web development fundamentals to production-ready full-stack engineering with React, Next.js, TypeScript and PostgreSQL. Learn practical AI-assisted workflows while building, testing, securing and deploying applications that are ready for real users.

Stop guessing which machine learning algorithm to use. This book provides clear mathematical explanations, decision frameworks, and real-world examples to help you select, implement, and evaluate models correctly from data to deployment.

Every nanosecond is a decision. Most trading systems lose thousands of them before the strategy even runs.Architecting HFT Systems in Modern C++ is the build manual for the systems that don’t. Starting from bare metal, you’ll construct a complete high-frequency trading pipeline, from packet arrival to order on the wire, with zero heap allocation and zero system calls on the hot path.You’ll learn how to:Tune Linux for deterministic, low-jitter execution with isolated cores, IRQ affinity, and tickless kernelsReplace malloc with arena allocators, pre-faulted pools, and clocks that never touch the kernelWire every component through lock-free SPSC queues using only the memory ordering you actually needBypass the kernel with DPDK, ef_vi, and io_uring, reading packets exactly where DMA placed themDecode ITCH, SBE, and FAST feeds at wire speed with branchless, compile-time-dispatched parsersBuild a cache-resident order book that updates in nanoseconds, not microsecondsRun strategies through a zero-virtual-call harness and enforce risk limits in a handful of instructionsProve it all with deterministic pcap replay, a simulated exchange, and automated latency regression detectionEvery chapter ends with a Latency and Determinism Ledger, a running p50/p99/p99.9 record that shows exactly where each nanosecond went and how it was won back.No toy examples. No hand-waving. Just the architecture, the code, and the measurements behind real tick-to-trade performance.Speed without determinism is luck. This book teaches you both.Short version (for ads or the subtitle line):Build a complete HFT pipeline in modern C++, from kernel bypass to order on the wire, with zero allocation, zero syscalls, and every nanosecond measured.

Build a strong foundation in Gleam and learn how to turn its simplicity into reliable, concurrent systems. From language basics and the BEAM to OTP, web development and deployment, this practical guide uses clear explanations and runnable examples to help you build software that is safe, scalable and ready for production.

Build fast, modern web applications with Python and FastAPI. Starting with your first endpoint, you’ll develop a real application step by step while learning databases, authentication, WebSockets, testing, Docker and deployment. By the end, you’ll know how to turn Python code into secure, production-ready systems.

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.