Books

軟體開發日新月異，而 Claude Code 正是這場變革的核心。本書《精通 Claude Code》指導開發者如何有效率地與 AI 代理商協作，編寫程式碼、自動化工作流程，並自信地應對大型專案。內容涵蓋從設定和提示設計到實際工程實踐的方方面面，為所有希望了解 2026 年現代軟體建構方式的人士提供了一份實用的路線圖。

Die Softwareentwicklung wandelt sich rasant, und Claude Code steht im Zentrum dieses Wandels. „Mastering Claude Code“ zeigt, wie Entwickler mit KI-Agenten Code schreiben, Arbeitsabläufe automatisieren und auch komplexe Projekte effizient umsetzen. Praxisnah vermittelt das Buch Einrichtung, Prompt-Design und bewährte Engineering-Praktiken für moderne Softwareentwicklung im Jahr 2026.

软件开发领域正经历着快速变革，而 Claude Code 正处于这一变革的核心。《Mastering Claude Code》一书向开发者展示了如何高效地与 AI 智能体协作，从而编写代码、实现工作流自动化，并充满信心地应对大型项目。本书内容涵盖了从环境搭建、提示词（Prompt）设计到实际工程实践的方方面面，为那些希望了解 2026 年现代软件构建方式的读者提供了一份实用的行动指南。

ソフトウェア開発は急速に変化しており、Claude Codeはその変革の中心にあります。本書『Mastering Claude Code』は、AIエージェントと効果的に連携してコードを記述し、ワークフローを自動化し、より大規模なプロジェクトに自信を持って取り組むための方法を開発者に提示します。セットアップやプロンプト設計から実践的なエンジニアリング手法に至るまでを網羅した本書は、2026年における現代的なソフトウェア開発のあり方を理解したいすべての人にとって、実用的な指針となる一冊です。

소프트웨어 개발 환경이 빠르게 변화하는 가운데, Claude Code는 이러한 변화의 중심에 있습니다. 이 책은 개발자가 AI 에이전트와 효과적으로 협업하여 코드를 작성하고, 워크플로를 자동화하며, 더 큰 규모의 프로젝트를 자신 있게 수행하는 방법을 안내합니다. 설정 및 프롬프트 설계부터 실무 엔지니어링 사례에 이르기까지 폭넓은 내용을 다루는 이 책은, 2026년의 현대적인 소프트웨어 개발 방식을 이해하고자 하는 모든 이에게 실용적인 로드맵을 제시합니다.

Traditional test automation can execute scripts, but it struggles to explain failures, adapt safely to application changes, evaluate AI-powered features, or govern autonomous testing agents. AI-Native Software Testing shows practitioners how to design a modern testing architecture that combines Playwright, AI agents, LLMs, controlled self-healing, and governed CI/CD automation.

Mathematical Foundations of AI and Data Science: Discrete Structures, Graphs, Logic, and Combinatorics in Practice transforms abstract mathematical concepts into practical tools for computational problem-solving.Explore logic, set theory, relations, functions, combinatorics, discrete probability, graph algorithms, trees, algebraic structures, Boolean systems, recurrence relations, optimization.

Built around the CISO's Decision Journey — a five-stage loop of Assess, Govern, Defend, Monitor, and Improve — this book across fourteen chapters moves from the AI threat landscape and the regulatory environment to threat modelling and red teaming, a layered security-controls architecture, AI incident response, the AI-assisted SOC, and a 90-day programme roadmap.

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.

Most businesses use only a fraction of what Claude can actually do. The difference between average results and real business impact is not the AI. It is the prompt. This book gives you 100 proven Claude prompts for solving high-value business problems, complete with practical guidance so you can implement them immediately and turn AI into a competitive advantage.

Advanced Prompt Engineering for LLMs: 2026 Techniques That Actually Deliver Results takes readers beyond basic instructions and introduces a complete system for working with modern Large Language Models.Discover how to:• Apply powerful frameworks such as RACE and TREE • Build advanced multi-layer prompts • Use meta-prompting to create and improve prompts • Design specialized expert personas

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.

Discover how to build production-ready AI agents and multi-agent systems with CrewAI. Through practical examples and real-world projects, you will learn to create autonomous agents that collaborate, use tools, integrate with external data, and scale from prototype to production.