Software Engineering

AI has changed the way code is written, but its true impact lies in software engineering. This book explains why specification, architecture, and context have moved to the center of modern development.

Your software is only as secure as the path it takes to production. This book walks you through protecting every stage of the software supply chain, from dependencies and builds to deployment and runtime. Learn practical techniques, proven tools and the mindset needed to stop modern supply chain attacks before they spread.

Frameworks make it easy to get started, but they often hide the fundamentals. This book takes you back to the core ideas behind reliable software, showing how to build fast, maintainable systems with fewer dependencies and better engineering decisions. Write software you truly understand and control.

Turn AI-generated code into production software. Use observable requirements, architectural boundaries, TDD, review, release gates, security, payment, delivery, and operations to ship maintainable AI-assisted systems.

Build Model Context Protocol servers that go beyond demos. This hands-on guide walks you from the fundamentals to production deployment with practical examples in Python, TypeScript, Go, Rust and Java. Learn the patterns, tools and real-world practices needed to build secure, scalable MCP servers that are ready for enterprise AI.

Build fast, reliable Windows desktop applications the right way. This book takes you from your first Win32 window to modern, production ready software using C23, the latest Windows SDK and Visual Studio 2026. Along the way you will learn practical techniques for performance, security and deep Windows integration.

Build fast, portable software that runs almost anywhere with WebAssembly. From reusable libraries and command line tools to plugins and server-side services, this practical guide shows how Wasm works and how to use it in real projects with complete code and clear explanations from start to production.

Distributed systems can feel overwhelming until you build one yourself. This book takes you from core networking and concurrency concepts to a complete production-ready platform in Go. Every chapter adds real working code so you learn not just the theory but how reliable systems are built and run at scale.

AI coding agents can write code fast, but they need codebases built for collaboration. This book shows experienced engineers how to design, test and maintain software that works seamlessly with tools like Copilot, Cursor and Claude Code. Practical patterns, real projects and proven workflows help you build systems that scale with AI.

Mexer em uma coisa quebra outra? FOCUS Architecture é uma arquitetura opinativa, organizada por problema, não pela moda, para sistemas que crescem sem apodrecer.

From your first line of code to advanced JavaScript, this book builds real understanding instead of memorization. Learn how the language works, why modern features exist, and how professionals use them every day. Covering ES2026 and upcoming additions like Temporal, it gives you the skills to write clean, confident production-ready code.

Build powerful AI agents that run entirely on your own hardware with Ollama. Learn practical patterns for RAG, multi-agent systems, security and deployment through clear explanations and production-ready code you can use right away. From first setup to reliable real-world applications, this book helps you build with confidence.

Go beyond using PDF libraries and learn how the format really works. This book walks you through building a complete PDF reader from scratch using the ISO 32000-2 specification, with clear explanations, written in C++ code and a parser that handles real-world PDF files from the ground up.

Great software is built through great reviews. This book shows you how to spot hidden bugs, improve design, strengthen security, and review AI-generated code with confidence. Packed with practical examples and proven techniques, it helps you write better software in a world where humans and AI build code together.

AI-generated code can look flawless while hiding invented APIs, security gaps and subtle logic errors. This practical guide shows you how to build production-ready analyzers that catch what tests miss, from taint tracking and symbolic execution to custom rules for CI/CD and IDEs.