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Albanien 1960: Eine denkwürdige Urlaubsreise
Deutsch | 16 Jan. 2025 | ISBN: 3759766749 | 112 Seiten | EPUB (True) | 15.04 MB
Ein nur kleines geschichtliches Zeitfenster war es, in dem DDR-Bürger die Möglichkeit einer Reise nach Albanien hatten. Auf der Grundlage seiner Reisenotizen und Fotos aus dem Jahre 1960 ist Rolf Och eine spannende Beschreibung des Landes gelungen, dessen Geschichte oft von Menschen bestimmt wurde, die seine Kultur nicht wirklich kannten.

Aktien und ETFs verstehen: Der einfache Weg zum Vermögensaufbau
Deutsch | 20 Jan. 2025 | ISBN: 3965334182 | 184 Seiten | EPUB (True) | 1.10 MB
Finanzielle Entscheidungen selbstbewusst treffen: Ihr Leitfaden für erfolgreiches InvestierenIn Zeiten wirtschaftlicher Unsicherheit und stetigem Wandel ist es entscheidend, finanzielle Entscheidungen selbstbewusst und fundiert zu treffen. Unser praxisorientierter Leitfaden vermittelt Ihnen das notwendige Wissen, um Ihre finanzielle Zukunft eigenständig und aktiv zu gestalten. Er richtet sich an alle, die ihre Ersparnisse gezielt investieren möchten - sei es für die Altersvorsorge, den Vermögensaufbau oder zur Erreichung finanzieller Unabhängigkeit.Investieren leicht gemacht: Aktien und ETFs verstehenDie Welt der Aktien und Exchange Traded Funds (ETFs) erscheint auf den ersten Blick oft komplex und unübersichtlich. Doch mit einer klaren Anleitung und einem soliden Verständnis der Grundlagen wird sie für jeden zugänglich und verständlich. Dieser Ratgeber begleitet Sie Schritt für Schritt durch die wichtigsten Konzepte und Strategien des Investierens.Inhalt des Leitfadens:Aufbau eines optimalen Wertpapierdepots:Erfahren Sie, wie Sie ein ausgewogenes Portfolio erstellen.Auswahl der passenden Aktien:Finden Sie die besten Aktien für Ihr Portfolio.Zentrale Anlagestrategien:Lernen Sie bewährte Strategien für den Aktienhandel.Risikominimierung:Entdecken Sie praktische Methoden zur Reduzierung von Risiken.Bedeutung von Dividenden:Verstehen Sie, wie Dividenden zum langfristigen Vermögensaufbau beitragen.Vorteile von ETFs:Erfahren Sie, warum ETFs eine gute Ergänzung für Ihr Portfolio sind.Strategien zur Auswahl geeigneter ETFs:Finden Sie die besten ETFs für Ihre Anlagestrategie.Nachhaltiges Investieren:Lernen Sie, wie Sie mit Aktien und ETFs nachhaltig investieren können.Dieser Leitfaden bietet Ihnen einen klaren Überblick über die Finanzwelt und zeigt praxisnah, wie Sie erfolgreich investieren können. Mit dem richtigen Wissen und den passenden Werkzeugen kann jeder - unabhängig von seinen Vorkenntnissen oder bisherigen Erfahrungen - ein erfolgreicher Anleger werden.

Agentisches Programmieren mit Claude: Ein vollständiger Leitfaden für Entwickler zum Aufbau, Testen und Bereitstellen von Software mithilfe KI-gestützter Code-Generierung
Deutsch | 25 April 2026 | ASIN: B0GYKJFK35 | 84 Seiten | Epub | 1.09 MB
Programmieren Sie nicht nur mit KI - arbeiten Sie mit einem Agenten zusammen.Die Softwareentwicklung befindet sich an einem historischen Wendepunkt. Wir bewegen uns weg von der einfachen Code-Autovervollständigung hin zum Agentischen Programmieren - Systemen, die Ziele empfangen, über notwendige Schritte nachdenken, Aktionen ausführen und ihren Kurs basierend auf Ergebnissen selbstständig anpassen.In diesem umfassenden Leitfaden zeigt der renommierte Experte Kevlin Henney, wie Softwareentwickler das volle Potenzial von Anthropic Claude ausschöpfen können. Es ist kein Buch über theoretische KI, sondern ein pragmatisches Handbuch für Praktiker, denen Qualität, Architektur und echte Handwerkskunst wichtig sind.Was Sie in diesem Buch lernen:Das agentische Mentale Modell: Verstehen Sie die Architektur von LLMs und wie Claude über Code „nachdenkt".Praxisnahe Einrichtung: Konfigurieren Sie Ihre Umgebung mit dem Anthropic SDK und nutzen Sie Claude Code für die direkte Arbeit im Dateisystem.Fortgeschrittenes Prompt-Engineering: Meistern Sie Techniken wie Chain-of-Thought, Few-Shot-Prompting und die Vermeidung von Anti-Pattern.Der vollständige Entwicklungszyklus: Von der Planung und inkrementellen Feature-Implementierung bis hin zum Testen, Debuggen und der Bereitstellung mittels CI/CD und Docker.Architektur der Zukunft: Erforschen Sie Multi-Agenten-Systeme und Retrieval-Augmented Generation (RAG) für große Codebasen.Sicherheit und Ethik: Implementieren Sie Schutzmaßnahmen gegen Prompt-Injection und wahren Sie den Datenschutz.Agentisches Programmieren ist kein Ersatz für menschliches Urteilsvermögen, sondern ein mächtiger Verstärker. Dieses Buch hilft Ihnen, Claude als ernsthaften Mitarbeiter zu integrieren, um Software zu bauen, die nicht nur funktioniert, sondern gut strukturiert und wartbar ist.Bereiten Sie sich auf die nächste Stufe des Software-Engineerings vor.

Agentic Software Engineering: A Practical, Step-by-Step Guide to Building and Running Agentic Coding Systems with Claude Code
English | May 20, 2026 | ASIN: B0H2D8L2BZ | 353 pages | Epub | 340.87 KB
Master Agentic Software Engineering and Build AI Systems That Can Think, Plan, and ExecuteArtificial intelligence is changing software engineering at a structural level. Developers are no longer limited to static automation, simple prompt-response workflows, or basic code completion tools. A new class of systems is emerging: agentic coding systems capable of reasoning through tasks, using tools, managing memory, executing workflows, debugging code, and adapting dynamically to complex objectives.Agentic Software Engineering is a practical, production-focused guide designed to help developers move beyond traditional AI-assisted coding and into the world of autonomous software systems powered by modern large language models and Claude Code.This book does not focus on hype, surface-level tutorials, or abstract theory. Instead, it provides a clear and technically grounded path for understanding how agentic systems work and how to build them reliably in real engineering environments.Inside this book, you will learn how modern AI coding agents operate, how reasoning loops are structured, how tools and execution environments are integrated, and how to design systems capable of planning, acting, evaluating results, and refining outputs across multiple steps.What You Will LearnAI coding agents and autonomous execution systemsTool-augmented reasoning and function callingPrompt engineering for agentic workflowsMemory and context management strategiesMulti-step execution pipelinesAgent architectures and orchestration patternsError handling, debugging, and observabilityPerformance optimization and cost controlProduction deployment and system scalingSecurity, guardrails, and safe execution practicesReal-World Applications CoveredAutomated debugging systemsCode refactoring agentsAutonomous development workflowsExecution pipelines for production environmentsRather than treating AI as a black-box assistant, this book teaches you how to engineer systems around modern language models with reliability, control, scalability, and maintainability in mind.Whether you are building internal engineering tools, autonomous development workflows, AI-powered software products, or next-generation coding systems, this book provides the practical knowledge needed to design and operate agentic architectures effectively.Who This Book Is ForSoftware engineersBackend developersAI engineersMachine learning practitionersDevOps engineersPlatform engineersTechnical architectsAdvanced programming studentsDevelopers exploring autonomous AI systemsThis book is especially valuable for developers who want to move beyond simple prompting and understand how production-grade AI agents are actually built.What Makes This Book DifferentUnlike many AI books that focus heavily on theory or beginner-level examples, Agentic Software Engineering emphasizes real engineering principles and production-oriented thinking.By the End of This Book, You WillUnderstand what truly makes a system agenticBuild structured AI coding workflowsCreate systems that can reason and act autonomouslyIntegrate external tools into AI execution pipelinesDesign memory-aware coding agentsDevelop multi-step autonomous workflowsHandle failures and debugging in agent systemsDeploy scalable AI-powered engineering systemsBuild production-ready agentic architectures with confidenceThe future of software engineering is shifting toward intelligent, tool-using, execution-capable systems. Developers who understand how to design and manage these systems will play a major role in the next generation of software development.

Agentic RAG with n8n : Build Practical AI Workflows with Retrieval, Reranking, and Chunking
English | October 11, 2025 | ASIN: B0FVWCZ42Q | 176 pages | Epub | 1.39 MB
Agentic RAG with n8n: Build Practical AI Workflows with Retrieval, Reranking, and Chunking is your definitive, hands-on guide to creating intelligent automation systems that think, reason, and act.In a world where most "AI tutorials" stop at theory, this book goes further-showing you exactly how to design real-world, agentic Retrieval-Augmented Generation (RAG) systems using n8n, vector databases, LLMs, and modern workflow engineering.You'll discover how to integrate retrieval, agentic chunking, reranking, and evaluation loops into seamless workflows that connect cloud APIs, local models (via Ollama), and structured data sources. Every concept is explained clearly and backed by complete, working examples-making this book perfect for both AI practitioners and beginners seeking a practical path into intelligent automation.Unlike many AI books that recycle generic content, Agentic RAG with n8n delivers verified, executable workflows. Each chapter distills complex ideas into concise, actionable insights you can apply immediately-whether you're building internal knowledge assistants, compliance copilots, or adaptive research agents.Why This Book Stands OutAction-first approach - every workflow, function, and command is complete, working, and explained in context.Agentic Intelligence simplified - learn how agents reason dynamically and interact with your data.n8n for automation mastery - build pipelines that blend AI reasoning, retrieval, and logic nodes without coding complexity.From local to cloud - run lightweight models via Ollama or deploy scalable RAG systems using Neon, Supabase, or Qdrant.Future-ready knowledge - updated for 2025 AI trends in context engineering, RAG evaluation, and GraphRAG integration.About the AuthorNathan Steele is a technology author and workflow engineer specializing in AI systems design, automation, and context engineering. With years of hands-on experience building agentic frameworks for AI developers and enterprises, he combines deep technical knowledge with a focus on clarity, practicality, and reproducibility. His works empower readers to build, not just understand, cutting-edge AI and automation solutions. Inside the Book (Table of Contents Highlights)Chapter 1: Introduction to Agentic RAG and n8nChapter 2: Setting Up Your EnvironmentChapter 3: Fundamentals of Retrieval-Augmented GenerationChapter 4: Agentic Chunking in PracticeChapter 5: Agentic RAG WorkflowsChapter 6: Reranking for Better AnswersChapter 7: Hybrid Search and GraphRAGChapter 8: Evaluation and MonitoringChapter 9: Safety and GovernanceChapter 10: Deployment and OperationsChapter 11: Internal Docs CopilotChapter 12: Research Digest AgentChapter 13: Customer Support Inbox AgentAppendices: Quick Guides, Evaluation Metrics, and Local Demo Setup

Agentic Hybrid RAG on SAP BTP: A Hands-On Guide with LangGraph, HANA Cloud, and Google Vertex AI
English | June 4, 2026 | ASIN: B0H1PD3SV5 | 399 pages | Epub | 3.32 MB
Build a production-ready AI agent on SAP BTP that answers complex questions using parallel hybrid retrieval - combining vector search and knowledge graphs, orchestrated with LangGraph. Step-by-step guidance covers SAP HANA Cloud, Google Vertex AI, CAP Node.js OData V4, Fiori Elements, and Cloud Foundry deployment - everything on free-tier resources.

Agentic Coding with Windsurf: Build, Refactor, Test, and Ship Multi-File Software Projects with Cascade, MCP, AI Workflows, and Production-Ready Developer Practices
English | May 5, 2026 | ASIN: B0GZCDZVDZ | 411 pages | Epub | 5.71 MB
Agentic Coding with WindsurfBuild, Refactor, Test, and Ship Multi-File Software Projects with Cascade, MCP, AI Workflows, and Production-Ready Developer Practices You've used AI to write code. It works... until your project grows.Suddenly, changes break across files. Context gets lost. Fixing one bug creates another. You spend more time managing the tool than building the product. Sound familiar?This book shows you a different way to work.Agentic Coding with Windsurf introduces a structured, real-world approach to building software with AI that actually scales. Instead of treating AI like a code generator, you learn how to operate it as a system-one that plans, edits, tests, and deploys across entire codebases with precision.Inside, you'll learn how to use Windsurf and Cascade to manage complex development workflows, coordinate multi-file changes, and ship production-ready software without losing control.What you'll gain from this bookBuild features across multiple files without breaking your systemPlan and execute changes using Cascade's Ask, Plan, and Code modesRefactor large codebases while keeping tests stableDebug issues faster with structured, test-driven workflowsRun parallel development streams using Git worktreesAutomate repetitive tasks with MCP tools and custom workflowsDeploy applications to the cloud directly from your development flowSet up secure pipelines with proper secret management and controlsMaintain full visibility with logging, monitoring, and rollback strategiesIf you've ever wondered:Why does AI struggle once projects get complex?How do you safely edit multiple files with confidence?Can AI actually help you ship production-ready software?This book gives you clear, practical answers-and shows you exactly how to apply them.You're not just learning a tool. You're building a system that helps you move faster, reduce errors, and ship with confidence.Get your copy now and start building software the way modern development demands.

Agentic AI with MCP, Second Edition: Build Real-World Multi-Agent Systems with Architecture Diagrams, LangChain Workflows, MCP Protocols, and Deployable LLM Agents
English | December 13, 2025 | ASIN: B0G6P3R63M | 289 pages | Epub | 1.95 MB
Build production-ready AI agents that don't just "chat" - they plan, use tools, collaborate, retrieve knowledge, and complete real tasks reliably.Agentic AI with MCP, Second Edition is a practical, beginner-friendly guide to designing and building modern multi-agent systems using the Model Context Protocol (MCP). You'll learn how to structure agents with clear roles, connect them to real tools and APIs, pass messages safely, and integrate memory and retrieval so your systems stay grounded, consistent, and useful. Every concept is taught with step-by-step explanations and working examples, so you can move from "I've heard of agents" to "I can build and deploy them" with confidence.This book stands out by showing you the full end-to-end path: from agent architecture diagrams and message pipelines, to RAG (retrieval-augmented generation) workflows, to tool-enabled agent design, to real-world projects like a Research Assistant system and a Developer Agent suite. You'll also learn how to deploy and scale agent systems using modern patterns such as FastAPI, Docker containerization, and cloud deployment strategies - with an emphasis on safety, reliability, and clean engineering practices.Written in a clear, mentor-like style, this Second Edition reflects the newest expectations of today's agentic ecosystem: graph-based orchestration, structured tool schemas, improved debugging workflows, and practical guidance for building systems that behave predictably under pressure. If you want a modern, hands-on roadmap for multi-agent engineering and MCP-based architectures, this book is designed to save you time and help you ship.

Agentic AI for Solopreneurs: Build Smart No Code Systems with AI Agents to Save Time and Scale Your Business | Beginner Friendly | Includes No Code ... No-Code Automations to Save Time and Money)
English | November 1, 2025 | ASIN: B0FXH5RY7F | 227 pages | Epub | 3.57 MB
Learn Agentic AI, and Start Automating Your Business in 5-Minutes or Less.⭐ Beginner-Friendly. No Code. No Technical Skills Required. ⭐You don't need to be a developer-or even "techy"-to harness the power of Agentic AI. This book shows any solopreneur how to build smart, time-saving systems using simple, no-code tools.This isn't another hype-driven AI book - it's a clear, step-by-step guide designed for busy professionals who value independence and efficiency.Inside, you'll discover how to:Launch your first automation in minutes - plug in the included JSON templates and have workflows running in 5 minutes or less. ⌛Simplify every part of your business - connect your email, CRM, invoicing, and calendar tools without touching a single line of code. 🏢Understand Agentic AI in plain English - learn what it is, why it matters, and how it can transform how you work and earn. 🧠Master the Three-Pillar Framework - Develop your system, Engage your clients, and Sustain your growth automatically. 💪Future-proof your business - stay ahead as AI evolves with adaptable, scalable workflows that grow with you. 💎You'll also get: Free plug-and-play automations Access to numerous free 5-minute courses designed to get anyone (and we mean ANYONE) going fast Real solopreneur case studies proving what's possibleIf you can click, copy, and paste, you can build your own AI-powered business systems with our proven framework.Stop trading time for tasks. Upgrade Your Life Now 🤓 .⭐ Agentic AI - Made Simple. ⭐

Agentic AI for Developers: Build Autonomous AI Systems That Plan, Execute, and Deliver Real-World Results Using Modern AI Agents
English | May 8, 2026 | ASIN: B0GXLP6PM3 | 222 pages | Epub | 542.61 KB
Agentic AI is changing how modern software is built. Instead of relying on single prompts or isolated model responses, developers are now designing autonomous AI systems that can plan, reason, use tools, manage memory, execute workflows, and adapt across multi-step tasks. As AI agents become central to automation, research systems, enterprise workflows, and intelligent applications, the ability to build reliable agentic systems is quickly becoming one of the most valuable skills in modern software development.Agentic AI for Developers is written for technical readers who want more than theory. This book focuses on practical architecture, production-ready control, real-world implementation patterns, and the engineering discipline required to move from experimental AI prototypes to reliable autonomous systems. It aligns with today's best practices in AI system design, including structured workflows, tool calling, retrieval-augmented generation, state management, observability, guardrails, evaluation, cost control, and scalable deployment.This book gives you a clear, implementation-driven path to building AI agents that do more than generate responses. You will learn how to design systems that understand goals, break tasks into steps, coordinate tools, preserve context, recover from failures, and deliver useful results under real-world conditions. From foundational agent loops to multi-agent coordination and production deployment, every chapter is designed to help you turn intelligent models into dependable software systems.What's Inside* Discover how to move from basic prompting to goal-driven AI systems that plan and execute with purpose.* Learn the core architecture of agentic AI systems, including perception, planning, action, reflection, memory, and workflow orchestration.* Build agent workflows that use APIs, external tools, databases, function calling, structured inputs, and secure execution patterns.* Explore planning and reasoning strategies such as task decomposition, adaptive execution, tool-augmented reasoning, and controlled autonomy.* Master memory systems, RAG pipelines, vector stores, long-term context, state propagation, and context management for complex AI applications.* Design real-world agents for research, content generation, workflow automation, business operations, and enterprise AI integration.* Understand multi-agent systems, role-based coordination, planner-executor-reviewer patterns, communication protocols, and conflict resolution.* Learn how to debug, evaluate, monitor, optimize, and scale agent systems while controlling latency, token usage, cost, reliability, and production risk.This book is for developers, software engineers, AI builders, automation specialists, technical founders, and professionals who want to build practical AI agent systems instead of simply experimenting with prompts. If you already understand APIs, software architecture, Python, backend systems, or automation workflows, this book will help you add the missing layer: turning AI reasoning into controlled, reliable, production-ready execution.You do not need months of scattered research to understand agentic AI development. With a structured, step-by-step approach, this book helps you build clarity quickly and apply modern AI agent concepts with confidence. In weeks, not months, you can move from basic LLM usage to designing autonomous AI systems that plan, execute, recover, and scale.If you are ready to go beyond simple AI prompts and start building autonomous systems that deliver real-world results, Agentic AI for Developersis your practical guide. Get the book today and begin mastering the architecture, workflows, tools, and production strategies that will define the next generation of AI-powered software.