Large language models

Mastering Qdrant for RAG Applications is your practical guide to building production-ready RAG systems with the leading open-source vector database. Learn how to design, optimize, and scale high-performance vector search using Qdrant through clear explanations, real-world examples, and hands-on code.

El desarrollo de software está cambiando rápidamente, y Claude Code lidera esa transformación. Aprende a trabajar con agentes de IA para escribir código, automatizar tareas y crear proyectos más grandes con confianza. Este libro ofrece una guía práctica para el desarrollo moderno de software en 2026.

Lo sviluppo software sta cambiando rapidamente e Claude Code è al centro di questa trasformazione. Mastering Claude Code insegna agli sviluppatori come usare gli agenti di intelligenza artificiale per scrivere codice, automatizzare i flussi di lavoro e sviluppare software in modo più efficace. Una guida pratica per comprendere come nasce il software moderno nel 2026.

Softwareontwikkeling verandert snel, en Claude Code staat centraal in die verschuiving. Mastering Claude Code laat zien hoe je effectief samenwerkt met AI-agenten om code te schrijven, workflows te automatiseren en moderne software te bouwen. Met praktische voorbeelden en technieken biedt dit boek een toegankelijke gids voor softwareontwikkeling in 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。

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。

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.

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.

PyTorch Deep Dive is a practical guide to mastering modern deep learning with PyTorch. From core concepts to advanced topics like transformers, diffusion models, and production deployment, it combines clear explanations, hands-on examples, and real-world best practices to help you build and scale AI applications with confidence.

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.

AI can generate code in seconds, but shipping production-grade software requires far more than fast prompts. Vibe Engineering shows you how to work with AI coding assistants to build systems that are reliable, secure, and maintainable. Through practical examples and proven workflows, you will learn how to turn AI from a code generator into a trusted engineering partner.