Books

Not just for mathematicians and detectives! Learn the basics of logic and its many applications, including advanced testing, constraint solving, function composition, and code proofs. Over 50 exercises and 20 sample programs are included. No prior math background required!

173 C++ interview questions. Junior to Senior. auto to C++26. Every question has follow-ups, code samples, and cross-references. A 100-day study plan with spaced repetition gets you through them all. A code-reading capstone sharpens your skills under pressure. Not just the answers — the reasoning that survives the follow-up questions.

이 책은 컴포즈 컴파일러, 런타임, UI 레이어, 그리고 성능 튜닝에 이르기까지 컴포즈의 모든 것을 탐구합니다. Jetpack Compose의 내부 소스 코드를 한 줄 한 줄 읽어 내려가며 특정 설계가 왜 그렇게 결정되었는지 그 이면을 설명하고, 여러분이 매일 작성하는 코드를 내부 메커니즘과 연결해 줍니다. 이 책을 읽고 나면 컴파일러와 런타임, UI 계층의 동작 시스템이 머릿속에 완성될 것이고, 궁극적으로 여러분이 일상에서 작성하는 컴포즈 프로젝트의 성능을 크게 향상시킬 수 있습니다. 코스 (영문): Jetpack Compose Mechanisms | 하드커버 종이책 (영문) | ISBN-13: 9798185354780

A best-selling book. The practitioner's guide to Claude Code in production. Thirty-one chapters covering the agent loop, tools, hooks, MCP, the Claude Agent SDK, permissions, multi-agent orchestration, evals, observability, and cost engineering. Includes a full walkthrough of Anthropic's financial services reference agents. Code from real production systems, not toy examples.

A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.

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.

With the advent of LLMs and AI coding assistants, we are generating code at an ever-accelerating rate. How do we manage this influx of code without getting fatigued and overwhelmed? How do we ensure coding standards are maintained? What practices and tools can we put in place to amplify our efforts while not introducing more bugs?

Residuality Theory is a new way to think about the design of software systems that explains why we experience design the way we do, why certain things seem to work only sporadically, and why certain architects get it right so often regardless of which tools they use. A new, scientific approach is defined that fuses Software Engineering, Complexity Science, and Philosophy to produce an entirely new way to think about how to design software. The result is a theoretical base that allows architecture to finally become its own discipline.

The definitive guide to agentic software engineering with Codex CLI, from prompting and AGENTS.md fundamentals to multi-agent orchestration, CI/CD integration, security hardening, and enterprise deployment across 28 hands-on chapters.

Learn how to analyze x64 and ARM64 Linux process and kernel crashes and hangs, navigate through core memory dump space and diagnose corruption, memory leaks, CPU spikes, blocked threads, deadlocks, wait chains, and more than 50 memory analysis patterns. The training consists of more than 70 step-by-step exercises using GDB and WinDbg debuggers.

Get onboard this journey into the land of streams. This is a complete hands-on book about Apache Flink, that follows real-life use cases and will help you learn how to create scalable end-to-end stream processing pipelines.

The most important impact of AI on software development isn't that it writes code faster — it's that it changes what you can delegate. Agentic Programming is a practical roadmap for climbing the AI Fluency Ladder: from prompting to agentic workflows, verified execution, and ultimately autonomous software development.

STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.

Skip the black-box frameworks. Build a production-grade AI coding agent from scratch in pure Python - cloud or local, tested with pytest, all in a single file.

Dieses Buch bietet Softwarearchitekten und Softwarearchitektinnen eine umfangreiche Sammlung von Qualitätstaktiken, um die Qualität von Softwaresystemen zu verbessern. Es dient als Ideengeber für verschiedene Situationen und Kontexte und hilft, das geforderte Qualitätsniveau für Stakeholder zu erreichen. Mit hunderten bewährten Taktiken ist es ein unverzichtbares Werkzeug für die Gestaltung hochwertiger Softwarearchitekturen.