A practical interview reference covering Modern C++ language features, STL usage, concurrency, and performance (553 manuscript pages).
Across 30 chapters, you'll trace real code paths through nearly 400 CAS modules, learning the architecture decisions, design patterns, and implementation techniques that hold this massive system together. Whether you're a CAS contributor trying to fix a tricky bug, an architect evaluating CAS for your organization, or a Java developer who wants to study a mature, real-world Spring Boot application at scale — this book gives you the map. Written by a long-time CAS committer who has been involved since the original CAS 3.0 architecture, this book distills years of hard-won knowledge into a single, code-level reference.
Learn Rust the fast way, by mapping it to the JavaScript you already know. Go from ownership and traits to building a CLI, an Axum web server, a SQLx database layer, and WebAssembly modules you can call straight from JavaScript.
Game Engine Foundations With C++: Build Professional-Grade Game Engines from ScratchIf you’re an experienced C++ developer looking to design, build, and optimize your own high-performance game engine, this is your blueprint.Most books waste your time with beginner fluff. This one gets straight to the engineering. You’ll learn how to create your own modular, scalable, production-ready game engine—step-by-step—without filler or irrelevant toy examples.
A practical backend interview reference covering modern Java and Spring Boot development (1497 manuscript pages).
A structured front-end interview guide focused on Angular internals and TypeScript fundamentals (450 manuscript pages).
Stop being a syntax typist. Master Clean Code Architecture and Algorithmic Thinking to become a professional Software Architect in 2026. This blueprint teaches you to build Scalable Systems using Binary Logic, Big O Notation, and proven Software Engineering Patterns. Perfect for the modern Backend Developer, self-taught coder, and Tech Entrepreneur looking to design high-performance software from scratch.
Unlock the full potential of C++ to revolutionize your AI and machine learning projects with this definitive guide to high-performance computing. Whether you're an experienced developer or an ambitious newcomer, this book is your gateway to mastering the art of optimizing computational efficiency for cutting-edge AI solutions.
98% test coverage. Zero errors in staging. And a race condition in production that wiped out two weeks of trading profit in three minutes. Proving the Machine is for the engineer who has hit that wall — and is ready to move from probabilistic confidence to mathematical certainty.
Move beyond prompts and learn the design patterns behind modern AI agents.From ReAct and RAG to planning, verification, memory, orchestration, and multi-agent collaboration, LLM Agent Patterns shows you how to build LLM systems that are not only powerful, but structured, reliable, and production-minded. If you want to understand how agentic systems actually work—and how to build them yourself—this book is your guide.
This book introduces students to the fundamentals of Python programming through a structured and practical learning approach. Designed for beginners, the book focuses on problem solving, algorithms, and core programming concepts using clear explanations and hands-on exercises. Readers will learn how to build Python programs step by step while developing computational thinking skills.
AI made creation cheaper. It also made judgment more valuable.Taste: Turning Vibe into Assets in the AI Age shows why the next wave of winners will not simply be the people with the best credentials or the biggest teams, but the ones who can turn instinct, clarity, and initiative into real assets.
Stop treating AI like a deterministic compiler and wondering why your codebase is degrading into hallucinated spaghetti code. Agentic Software Engineering provides the architecture, constraints, and rigorous governance needed to safely transition your team from manual typists to AI Orchestrators.
Your code deserves to be on PyPI. pip install yours is a step-by-step guide to packaging and publishing Python projects — from project structure to your first live release on PyPI.