Books

Here's a shorter version:Go beyond DNS lookups and build a high-performance recursive DNS resolver in Zig from the ground up. Through a hands-on implementation, you will master the protocols, algorithms, and systems programming techniques that power one of the internet's most essential services.

Discover the power of Nim, a language that combines Python's simplicity with C-level performance. Through practical examples and real-world projects, this book will help you master Nim and build fast, reliable, production-quality software.

Erlang was created to build systems that never stop. From its origins in telecommunications to modern platforms like WhatsApp and RabbitMQ, its approach to concurrency and fault tolerance has shaped some of the world's most reliable software. This book teaches both the language and the principles behind building resilient, production-ready systems.

Master AArch64 assembly with a practical guide that covers ARM64 fundamentals, advanced instruction sets, performance optimization, debugging, and systems programming. From your first instructions to writing efficient low-level code, this book provides the knowledge and hands-on examples you need.

Take your Flutter skills from beginner to professional with a practical guide to building production ready applications. Learn Dart, master Flutter's core concepts, integrate real world services, optimize performance, and confidently publish polished apps to the App Store and Google Play.

Master TypeScript from the fundamentals to advanced patterns with a practical, project-based guide. Updated for the 2026 ecosystem, this book covers TypeScript 6.0, the upcoming Go-native TypeScript 7.0 compiler, Bun, Deno, and the skills needed to build modern, production-ready applications.

Discover how the Model Context Protocol is transforming the way AI applications connect to tools, data, and external systems. With clear explanations and practical guidance, this book shows you how to build, secure, and deploy production-ready MCP solutions, from your first server to enterprise-scale AI applications.

The Python interview guide written from the interviewer's side of the table. 35 chapters. Every benchmark measured. Every line of code verified. What senior engineers actually get asked — and what separates the ones who get the offer.

Artificial intelligence is reshaping financial markets. Intelligent Markets shows you how to build production-ready AI trading systems from first principles, combining market fundamentals, practical architecture, and fully runnable code to create autonomous agents that can research, execute, and manage trades in live markets.

Build fast, reliable, and scalable software with Go. From core language fundamentals to advanced concurrency, testing, and production deployment, The Golang Handbook guides you through every stage of modern Go development with practical examples and real-world techniques, helping you write clean, efficient code with confidence.

There's a reason your last incident made it past review. It's not that nobody tested — it's that nobody asked the right question. This book is 745 of the right questions, sorted by what happens if you skip them.

You already know the principles. Then you hit a wall mid-project — the session died, a decision turned out wrong, four pieces have to become one — and knowing the principles isn't the same as knowing what to do. Claude Patterns is ten reusable workflows for exactly those moments: the assemblies you run when principles alone don't get you through.

Go beyond simple chatbots and build production-ready AI agents with LlamaIndex. Through practical projects and working Python code, you will learn to design reliable systems with retrieval, workflows, multi-agent architectures, observability, and deployment techniques for real-world applications.

Run powerful AI models directly in the browser with no servers and no cloud dependencies. LiteRT.js teaches you how to build fast, private, and production-ready machine learning applications using WebAssembly, WebGPU, and WebNN, with practical examples and performance-focused techniques throughout.

Learn how to build intelligent, production-ready AI agents with the OpenAI Agents SDK. Through practical Python examples and step by step guidance, you'll master everything from the fundamentals to advanced multi-agent workflows, tools, and deployment.