Software Engineering

Mastering Claude Code montre comment collaborer avec des agents d’IA pour écrire du code, automatiser des flux de travail et réaliser des projets d’envergure. De la configuration aux bonnes pratiques d’ingénierie logicielle, ce guide pratique explique comment les logiciels modernes sont conçus en 2026.

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.

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.

Zig in Depth is a practical guide to modern systems programming with Zig. Through clear explanations and runnable examples, you'll learn to write safe, efficient, and idiomatic Zig code, from the language fundamentals to advanced features like comptime, memory management, concurrency, and C interoperability.

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.

Learn how to build a modern programming language from scratch in Rust. By implementing a complete language called Rune, you will explore every stage of language design, from lexing and parsing to type checking, virtual machines, LLVM code generation, and developer tooling, with practical code and clear explanations throughout.

Build a source-level debugger in Rust from the ground up while uncovering the operating system, CPU, and compiler mechanisms behind modern debugging. Through hands-on implementation, you'll learn how processes, memory, breakpoints, and DWARF debug information come together to make source-level debugging possible.