Books

Zig in Depth is a practical guide to modern systems programming with Zig. Through clear explanations and runnable examples, you'll learn to write safe, efficient, and idiomatic Zig code, from the language fundamentals to advanced features like comptime, memory management, concurrency, and C interoperability.

Build a powerful AI assistant that runs entirely on your own hardware. The Ollama Assistant Handbook takes you from installation to a production-ready assistant with memory, tools, voice, vision, and automation through practical, hands-on examples you can use immediately.

Build a complete x86_64 hardware-assisted hypervisor in Rust from the ground up. Through real, compilable code and clear explanations, you'll implement every major subsystem, from CPU and memory virtualization to device emulation, VirtIO, and multi-vCPU scheduling, gaining a practical understanding of modern virtualization.

macOS powers millions of devices, but few developers ever explore what lies beneath its polished interface. Inside macOS explains how the XNU kernel, Mach, BSD, Apple Silicon, APFS, and modern security technologies work together, giving systems programmers, security researchers, and engineers a deep understanding of Apple's operating system.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

Modern software architecture is about making the right design decisions for systems that must scale, adapt, and remain reliable. Advanced Software Architecture explores the patterns, principles, and real-world practices behind cloud-native systems, helping experienced developers and architects build resilient solutions with confidence.

LLMs are too big for single GPUs, but quantization fixes that. This book cuts through the hype to show you how to actually compress models using GPTQ, AWQ, GGUF, and NF4 without losing quality. You get real benchmarks, working code, and a clear way to pick the right tool for your hardware. Stop guessing and start deploying efficient models today.

Complex systems demand better ways of working. SysML in Practice is a practical guide to Model-Based Systems Engineering, showing you how to use SysML to model, analyze, and manage complex systems with confidence. With clear explanations, real-world examples, and industry case studies, you'll gain the skills to apply MBSE effectively from your first system model to enterprise-scale engineering.

This book gives senior technology leaders a practical operating system for enterprise AI strategy. It turns scattered pilots into a board-ready plan by walking through strategy, economics, vendor decisions, ownership, governance, GenAI architecture, and roadmap assembly: AI Platform Scorecard, Use-Case Prioritization Matrix, Budget Model + Cost Guardrails, Vendor Decision Framework, RACI Matrix.

Large language models are not the architecture. Enterprise Intelligence Architecture shows how memory, governance, orchestration, validation, and model routing work together to build AI systems that are reliable, explainable, and production-ready. A practical blueprint for architects, AI engineers, and technical leaders.

Build Android applications that scale with confidence. Android App Architecture Mastery (2026 Edition) delivers a production-focused blueprint for designing modular, testable, and maintainable apps using Clean Architecture, MVVM, MVI, Kotlin Coroutines, Flow, Hilt, Jetpack Compose, and modern Android engineering best practices.

Prepare for senior Go interviews, or for the jump from mid-level to senior, with a focus on AI platform engineering: LLM gateways, RAG, vector search, Kubernetes, observability, concurrency ownership, and production failure modes. Includes interview questions, senior-level answer rubrics, executable Go examples, and a production-oriented RAG service capstone you can run, test, break, and explain.

Build a Linux operating system from source with only the components you need. Learn how the kernel, boot process, system utilities, libraries and package management work together while gaining the practical skills to build and maintain your own Linux distribution.

I wrote this book to show exactly what happens when you add Rust to the kernel. Not as a toy. Not as a single driver in a conference demo. It's a full module that covers process management, memory allocation, file systems, networking, device drivers, inter-process communication, and even machine learning inference. It's all built on safe abstractions, all compiled into one loadable binary, all tested on a running kernel. You'll find that each chapter adds new source files to the same module.

In a galaxy not so far, far away… You have just received a set of requirements—or desires disguised as requirements—wild needs or want statements vaguely describing some notion of what the system should do. Now what? Where do you start with the specifications? Rule One: Don’t Panic, and reach for Engineering on Purpose!