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Agrawal A: Building Software with Vibe
Coding

Building Software with Vibe Coding

From idea to production with AI (English Edition)

Hype und Realität
 Die KI-Tools versprechen viel: Die ersten Ergebnisse sind beeindruckend, doch nach einer Weile macht sich eine gewisse Ernüchterung breit. Michael Kofler, Bernd Öggl und Sebastian Springer teilen ihre Erfahrungen mit Ihnen, erklären die Zusammenhänge und machen Sie auf mögliche Fallstricke aufmerksam. Sie lernen, wie Sie die KI-Helfer richtig einsetzen, um ihr Potenzial auszuschöpfen.
 Agenten für alle Aufgaben
 Von den Autovervollständigungen des GitHub Copilots bis zur Arbeit mit Claude AI oder Mistral Vibe, vom Debugging kleiner Scripts bis zum Refactoring einer ganzen Codebasis, vom Datenbankdesign bis zur Entwicklung eigener Apps mit LangChain: Dieser Leitfaden gibt Ihnen einen aktuellen Überblick über alle Aspekte der KI-(R)evolution.
 MCP, Skills und die Zukunft
 KI ist schon längst nicht mehr in das Chat-Fenster eingesperrt. Über MCP-Server steuert Ihre KI verschiedene Tools, recherchiert selbstständig im Internet ... und löscht auch mal die Datenbank in Prod, wenn Sie nicht aufpassen. Der verantwortungsvolle Umgang mit diesen Werkzeugen ist daher wichtiger denn je. Nur was Sie verstehen, können Sie richtig einsetzen.

Das Praxisbuch für die Softwareentwicklung

Coding mit KI

Animals

Produktivere Teams mit ChatGPT und Co.
 
 <ul>
 
 <li>Einstieg in die Arbeit mit Sprachmodellen: für alle, die erste Erfahrungen sammeln und die Zusammenarbeit im Projektteam verbessern möchten.</li>
 
 <li>Effektives Prompting, so geht's: mit bewährten Techniken zu guten Ergebnissen.</li>
 
 <li>Den Informationsfluss verbessern: Mit weniger Aufwand aussagekräftige Anforderungen und Dokumentationen erstellen und aktuell halten.</li>
 
 <li>Mit ChatGPT das Verständnis von Code erleichtern und die Codestruktur verbessern. </li>
 
 </ul>
 
 Large Language Models wie ChatGPT werden schon heute produktiv in der Softwareentwicklung eingesetzt. Developer, Projektmanagerinnen und Architekten kommen nicht umhin, sich mit diesen neuen Möglichkeiten auseinanderzusetzen. 
 
 Patrick Schnell bietet einen praktischen Einstieg in die Arbeit mit diesen Sprachmodellen. Pragmatisch und ohne Panikmache beschreibt er, wie Teams diese Tools nutzen können, um die Qualität ihrer Codebasis zu verbessern, den Informationsfluss im Projektteam zu optimieren und Projekte besser zu steuern. 
 
 Gerade gute Anforderungsdefinitionen und Dokumentationen spielen für die Zusammenarbeit im Team eine wichtige Rolle. Patrick Schnell demonstriert, wie ChatGPT &amp; Co. bei diesen oftmals ungeliebten Aufgaben entlasten können. Der Autor zeigt darüber hinaus, wie Sie mithilfe von ChatGPT die Qualität von Code überprüfen und ein Verständnis der Codebasis - gerade auch für neue Teammitglieder - erleichtern. Die zu Beginn des Buchs beschriebenen Techniken des Prompting können Sie auch für andere Aufgaben nutzen.

Produktivere Teams mit ChatGPT und Co.
 
 <ul><li>Einstieg in die Arbeit mit Sprachmodellen: für alle, die erste Erfahrungen sammeln und die Zusammenarbeit im Projektteam verbessern möchten.</li><li>Effektives Prompting, so geht’s: mit bewährten Techniken zu guten Ergebnissen.</li><li>Den Informationsfluss verbessern: Mit weniger Aufwand aussagekräftige Anforderungen und Dokumentationen erstellen und aktuell halten.</li><li>Mit ChatGPT das Verständnis von Code erleichtern und die Codestruktur verbessern. </li></ul>
Entwicklerinnen, Projektmanager und Softwarearchitekten erfahren in diesem Praxisbuch, wie sie ChatGPT und andere Sprachmodelle nutzen, um ihre eigene Produktivität und die ihres Teams erheblich zu steigern. Sprachmodelle können Entwickler effektiv unterstützen, indem sie Code strukturieren, optimieren und automatisiert kommentieren. Auch Anforderungsdefinitionen und Dokumentationen sind für den Informationsfluss im Projekt enorm wichtig, zählen aber häufig zu den ungeliebten Aufgaben. ChatGPT kann hier eingesetzt werden, um zeitraubende manuelle Arbeiten abzukürzen und konsistentere Dokumente zu erstellen.Dieser praktische Einstieg zeigt anhand von vielfältigen Beispielen, wie Sie die neuen Möglichkeiten der Sprachmodelle für Ihre Arbeit nutzen können. Das Buch erläutert:<ul><li>mit welchen Prompting-Strategien Sie die besten Ergebnisse erzielen und welche Risiken bestehen</li><li>was gute Software auszeichnet und wie Sie mit ChatGPT die Codestruktur verbessern, Code optimieren und automatisiert kommentieren lassen</li><li>wie Sie Anforderungen mit ChatGPT auf Konsistenz und Vollständigkeit prüfen und Vorschläge zur Priorisierung erhalten</li><li>wie Sie User Stories mit LLMs strukturieren und Dokumente für unterschiedliche Zielgruppen aufbereiten</li><li>wie Sie Dokumentationen zu APIs, Datenmodellen, Programmabläufen und Algorithmen mit LLMs erstellen</li></ul>

Mit KI Codequalität, Anforderungen und Dokumentation verbessern

ChatGPT in Softwareprojekten

Unlock the Secrets of Business Coaching in the Digital Era with "Ink &amp; Insights"

Are you striving to stay ahead in the rapidly evolving world of business coaching? "Ink &amp; Insights: Mastering Business Coaching in the Digital Age" is your guide to navigating this dynamic field. Authored by a renowned academic researcher, this book is a treasure trove of knowledge, blending traditional coaching techniques with cutting-edge AI advancements.

Why "Ink &amp; Insights" is a Game-Changer:
-In-depth analysis of Business Coaching Benefits: Discover the transformative power of effective business coaching.
-AI Integration Strategies: Learn how artificial intelligence can revolutionize coaching, enhancing efficiency and sparking innovation.
-Comprehensive AI Technology Overview: Dive into AI-prompting technologies and their application in business coaching.
-Exclusive Comparative Analysis: Gain insights from a detailed comparison of AI platforms and language models.
-Master the Art of Crafting Prompts: Uncover the secrets to creating perfect, professional prompts that resonate with any company's needs.
-Role-Based Prompting Techniques: Tailor your coaching approach with role-specific strategies.
-Tools for Personal Growth: Explore methods to facilitate meaningful conversations and personal development.
-Continuous Improvement Models: Understand the PDCA model and its importance in strategic success.
-Brand Management Insights: Get an overview of effective brand management in the modern era.
-Storytelling in Marketing: Learn the art of storytelling as a powerful marketing tool.
-Latest Marketing Strategies: Stay ahead with insights into the evolving marketing landscape.
-Executive Management for Today's Leaders: Equip yourself with knowledge crucial for modern executive management.
-Time Management in Economics: Master the art of time management within an economic context.
-Problem-solving skills: Develop an integrative psychological perspective for effective problem-solving.
Who Will Benefit from "Ink &amp; Insights"?
-Business Coaches seeking to enhance their methods with AI integration.
-Executives and Managers aiming to improve their leadership and strategic skills.
-Marketing Professionals are looking for innovative strategies in storytelling and brand management.
-Anyone interested in the intersection of technology and business coaching.

Embrace the Future of Business Coaching: Don't miss out on this opportunity to elevate your inner coach.

Ink & Insights: Mastering Business Coaching in the Digital Age

DESCRIPTION 
The power of AI and ML can only be harnessed if one knows how to utilize it effectively. This book serves as your accessible guide to understanding the core principles and the exciting world of prompt engineering, a crucial skill in today's AI-driven landscape. Whether you are a curious beginner or a tech enthusiast, this book will illuminate the path to mastering intelligent interactions with AI.

Explore the evolution of AI and ML, starting with foundational concepts and historical milestones, progressing to the fascinating realm of generative models and the revolutionary rise of transformer architectures like GPT. Discover the art and science behind crafting effective prompts, exploring various prompt types, understanding the significance of tokens and syntax, and implementing efficiency strategies. You will gain insights into practical tools and platforms, alongside a crucial understanding of the ethical and societal implications and the financial considerations of working with AI. Finally, explore real-world applications through examples of cutting-edge chatbots and AI systems. The book covers ethical practices and best practices that help users achieve efficiency while also considering AI's broader impacts on privacy, security, and fairness.

By the end of this book, you will possess a solid understanding of the technological underpinnings of modern AI and the practical expertise to engineer compelling and effective prompts. You will be well-equipped to navigate the evolving world of AI and leverage its capabilities with confidence and competence.

WHAT YOU WILL LEARN
¿ Grasp AI/ML Foundations, historical context, diverse learning paradigms, and core concepts.
¿ Understand AI, ML Foundations, Transformer-based systems, and the future directions of prompt engineering.
¿ Explore generative models' development, GAN mechanics, and the shift towards transformers.
¿ Comprehend transformer architecture, self-attention, and the rise of GPT-like models.
¿ Master transformer models' pivotal role and application in effective prompt engineering.

WHO THIS BOOK IS FOR
This book is tailored for AI professionals, developers, and enthusiasts aiming to deepen their practical AI interaction skills. It also benefits educators, tech industry workers, and individuals involved in designing or implementing AI solutions in their workflows, requiring a foundational understanding of fundamental technology concepts.

Hands-on guide to prompt engineering for AI interactions (English Edition)

Prompt Engineering

Lisa Catena Gyger, Expertin für digitale Transformation, holt künstliche Intelligenz aus der abstrakten Theorie direkt in den Unternehmensalltag. Ihr Buch zeigt praxisnah und humorvoll, wie Unternehmen KI erfolgreich einführen, ohne ihre Mitarbeitenden zu überfordern.&nbsp;
 
 Ein besonderer Fokus liegt dabei auf der menschlichen Komponente: Kompetenz entwickeln, Ängste abbauen, psychologische Sicherheit schaffen und Teams nachhaltig befähigen, mit den Neuerungen gelassen umzugehen. Gyger zeigt mithilfe konkreter Praxisbeispiele, hilfreicher Checklisten und einer begleitenden Website, wie sich KI so nachhaltig in die Unternehmenskultur und Arbeitsprozesse integrieren lässt. Zudem liefert sie konkrete Anleitungen etwa für das Schreiben besserer Prompts, die Einführung kleiner Quick Wins im Arbeitsalltag und die Gestaltung von nachhaltigen Lernstrukturen.
 
 Ein unverzichtbarer Leitfaden für Führungskräfte, Change-Manager und Innovationsverantwortliche, die beim Thema KI alle Mitarbeitenden mitnehmen wollen.

Der Leitfaden für die erfolgreiche KI-Einführung im Unternehmensalltag | Anleitung zur KI-Transformation mit Checklisten, Tools und Beispielen

Vom Hype zur Handhabung

Unlock the power of Claude, an advanced conversational AI assistant, and integrate it into your daily professional workflows and decision-making. This book offers a clear, relatable path, regardless of your technical background, from first prompt to advanced user, through a guided, real-life learning approach that explains the AI learning curve.
You’ll start with an overview of Claude’s capabilities. In Part I, Claude Fundamentals introduces you to Claude AI in a clear, beginner-friendly way, using relatable comparisons and real examples. It guides you through initial setup, early conversations, and key lessons learned from trial and error. The section also explores prompt design, showing how skills evolve from basic to advanced, with practical before-and-after insights. Part II dives into hands-on applications—writing, research, coding, creativity, and data analysis—demonstrating how Claude can support a wide range of professional and personal use cases. 
Part III then introduces advanced strategies like prompt chaining and feature optimization, while Part IV explores professional domains including business, education, and artistic collaboration. In Part V, you’ll gain insights into troubleshooting, responsible AI use, and keeping up with rapid AI advancements. Finally, Part VI synthesizes the full journey, offering guidance on becoming a true power user and shaping the future of human-AI collaboration. 
Through transparent storytelling, tested frameworks, and actionable strategies, this practical guide will empower you to turn Claude AI from a tool into a transformative partner. 
What You Will Learn 

Use Claude AI effectively, even with no technical background or coding experience 

Master prompting techniques that evolve from simple queries to advanced, optimized conversations 

Apply Claude in writing, research, coding, creativity, and data analysis with real-life examples 

Explore Claude’s advanced features and integrate them into daily professional workflows and decision-making 



Who This Book Is For 
Creative professionals, educators, and business leaders exploring practical AI integration. It’s also ideal for entrepreneurs seeking new opportunities and knowledge workers aiming to boost productivity.

Unlock the power of Claude, an advanced conversational AI assistant, and integrate it into your daily professional workflows and decision-making. This book offers a clear, relatable path, regardless of your technical background, from first prompt to advanced user, through a guided, real-life learning approach that explains the AI learning curve.You’ll start with an overview of Claude’s capabilities. In Part I, Claude Fundamentals introduces you to Claude AI in a clear, beginner-friendly way, using relatable comparisons and real examples. It guides you through initial setup, early conversations, and key lessons learned from trial and error. The section also explores prompt design, showing how skills evolve from basic to advanced, with practical before-and-after insights. &nbsp;Part II dives into hands-on applications—writing, research, coding, creativity, and data analysis—demonstrating how Claude can support a wide range of professional and personal use cases.&nbsp;Part III then introduces advanced strategies like prompt chaining and feature optimization, while Part IV explores professional domains including business, education, and artistic collaboration. In Part V, you’ll gain insights into troubleshooting, responsible AI use, and keeping up with rapid AI advancements. Finally, Part VI synthesizes the full journey, offering guidance on becoming a true power user and shaping the future of human-AI collaboration.&nbsp;Through transparent storytelling, tested frameworks, and actionable strategies, this practical guide will empower you to turn Claude AI from a tool into a transformative partner. &nbsp;&nbsp;What You Will Learn
 &nbsp;
 <ul><li>Use Claude AI effectively, even with no technical background or coding experience </li><li>Master prompting techniques that evolve from simple queries to advanced, optimized conversations </li><li>Apply Claude in writing, research, coding, creativity, and data analysis with real-life examples </li><li>Explore Claude’s advanced features and integrate them into daily professional workflows and decision-making &nbsp;&nbsp;</li></ul>Who This Book Is For 
 &nbsp;&nbsp;
 Creative professionals, educators, and business leaders exploring practical AI integration. It’s also ideal for entrepreneurs seeking new opportunities and knowledge workers aiming to boost productivity.

Practical Journey from First Prompts to Pro with Claude AI

Mastering Claude AI

Use generative AI at work without producing slop or losing trust Unsloppable: How to Leverage AI Without Outsourcing Your Thinking is a practical guide to using ChatGPT, Claude, and Gemini for better business writing and clearer thinking. Learn to create emails, reports, proposals, and presentations that reflect your expertise and earn your readers' trust. Former Google Cloud AI director Valliappa Lakshmanan, PhD, explains why large language models produce generic prose and invented facts--and what you can do about it. Through worked examples and practical checklists, he shows you how to avoid AI slop: content that looks polished but lacks the substance, accuracy, or judgment your readers need. Unsloppable opens with a six-item prompt checklist designed to ensure generated content reflects the writer's own point of view rather than generic output. Subsequent chapters cover tool selection, avoiding common rookie mistakes, owning the narrative across long-form content, curating context, and synthesizing multiple sources. The book concludes with a recommended end-to-end workflow for creating content that balances productivity gains against the risk of AI slop. Readers will also find: <ul> <li>A clear framework for balancing trust and productivity when integrating generative AI into everyday professional communications and deliverables</li> <li>Guidelines for writing better AI prompts using six essential elements: audience, purpose, task, viewpoint, format, and constraints</li> <li>Suggestions on AI tools for your work that enable you to customize AI to your voice by suppling the sources, context, and instructions they need</li> <li>An approach that uses AI as a sparring partner to explore alternatives, challenge assumptions, and develop recommendations you can defend</li> <li>Ways to check facts and citations, spot AI hallucinations, and catch weak reasoning before it reaches your readers</li> <li>A repeatable workflow that matches the effort to the stakes, from routine updates to presentations that shape important decisions</li> </ul> Written for professionals without a technical background--including business leaders, lawyers, policymakers, healthcare professionals, educators, journalists, and consultants--Unsloppable equips anyone who uses generative AI at work with the specific methods needed to produce trustworthy content and avoid the reputational cost of AI slop.

How to Leverage AI Without Outsourcing Your Thinking

Unsloppable

Bei der Optimierung von Geschäftsprozessen spielen Large Language Models (LLMs) wie ChatGPT eine zentrale Rolle. Ziel des Buches ist, eine Brücke zwischen klassischen Prozessmanagement-Methoden und den neuesten Entwicklungen im Bereich Künstlicher Intelligenz zu schlagen. Dabei werden nicht nur theoretische Grundlagen vermittelt, sondern auch praxisnahe Anwendungsfälle vorgestellt. Besonderes Augenmerk liegt auf Strategien zur effizienten Nutzung von LLMs, der Kostenkontrolle und der Vermeidung von Anbieterabhängigkeiten.

Von der Prozessidentifikation über die Modellierung bis hin zur kontinuierlichen Optimierung – LLMs eröffnen neue Möglichkeiten in der Dokumentenanalyse, Prozessgestaltung und -überwachung, im Kundenservice oder in ERP-Systemen. Fallstudien und klare Methoden helfen dabei, die richtige KI-Technologie auszuwählen und effizient in bestehende Systeme zu integrieren. Das Buch zeigt mit konkreten Beispielen anschaulich, wie Unternehmen LLMs erfolgreich einsetzen können und welche Herausforderungen bei der Implementierung bestehen. Es liefert verständliche und anwendungsorientierte Inhalte für alle, die Geschäftsprozesse zukunftsfähig gestalten möchten.

Innovation mit KI als Schlüssel zur Effizienz

Prompt Engineering im Geschäftsprozessmanagement

The AI chatbot that started it all ChatGPT(TM) is the artificial intelligence tool that took the world by storm-and it just keeps getting smarter. This revised and expanded edition catches you up with the latest models and capabilities of ChatGPT, showing you how to use the tool to do, well, just about anything. Write effective prompts, integrate ChatGPT into your workflow, generate images, and do it all ethically. You'll also get a plain-language rundown on what the chatbot actually does, how it evolved so quickly into the revolutionary tech that it is, and what's next for AI and you. Inside... <ul><li>Getting started with ChatGPT</li> <li>Leveling up your prompting skills</li> <li>Updating your work processes</li> <li>Applying ChatGPT in various industries</li> <li>Creating images and art</li> <li>Using ChatGPT as an editor</li> <li>Creating unique output</li></ul>

ChatGPT For Dummies

This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.

Starting with the fundamentals—LLM architecture, tokenization, APIs, and fine-tuning—the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to creating a scheduling agent, every project reinforces both technical skills and applied understanding. It emphasizes clarity, inclusivity, and real-world relevance—helping readers move confidently from basic understanding to complex applications.

Whether you're exploring Agentic AI or looking to build production-ready systems, this book gives you the tools to turn curiosity into capability—and innovation into impact.

What you will learn:

Build intelligent chatbots and tools using LLMs like GPT, LLaMA, and Mistral with guided development steps.

Combine LLMs with vector databases like FAISS and Pinecone to create accurate, context-aware AI systems.

Design AI agents capable of planning and executing complex workflows for automation and decision-making.

Apply prompt engineering, memory, and multimodal tools to build real-world AI apps for your project portfolio.




Who this book is for:

Machine Learning engineers, data scientists, and AI professionals interested in learning how to build real-world AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent chatbots.

This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.Starting with the fundamentals—LLM architecture, tokenization, APIs, and fine-tuning—the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to creating a scheduling agent, every project reinforces both technical skills and applied understanding. It emphasizes clarity, inclusivity, and real-world relevance—helping readers move confidently from basic understanding to complex applications.Whether you're exploring Agentic AI or looking to build production-ready systems, this book gives you the tools to turn curiosity into capability—and innovation into impact.What you will learn:<ul><li>Build intelligent chatbots and tools using open-source LLMs like GPT, LLaMA, and Mistral with guided deployment steps.</li><li>Combine LLMs with vector databases like FAISS and Pinecone to create accurate, context-aware AI systems.</li><li>Design AI agents capable of planning and executing complex workflows for automation and decision-making.</li><li>Apply prompt engineering, memory, and multimodal tools to build real-world AI apps for your project portfolio.</li></ul>Who this book is for:Machine Learning engineers, data scientists, and AI professionals interested in learning how to build real-world AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent chatbots.

Architectures, Applications, and Real-World Deployments of Large Language Models

Mastering Large Language Models

Ronja Lind

Mit künstlicher Intelligenz die Welt von morgen formen

Der PROMPTATHON-Praxis-Guide

The danger of AI isn't that it gets things wrong. It's that it gets things wrong in a way that looks exactly right - polished, confident, and formatted like real work. And most of us have trained ourselves to trust polish.Maya is a capable professional who learns this the hard way. She sends a report built on a number the AI invented - a number that looked perfectly credible until a director tapped the line and asked where it came from. What follows is her journey from being fooled by fluent output to directing AI better than almost anyone around her.At the centre is CLIP-A - a simple, repeatable framework (Context, Lens, Instructions, Presentation, Add-ons) that turns a vague prompt into a precise brief, and a plausible-looking answer into one you can actually defend in a room.This is not a book about typing better prompts. It's about judgment: knowing when an output only looks right, where to put a human checkpoint, and how to make AI think faster and harder with you instead of quietly steering you. Real cases - including three that made the news - show exactly what goes wrong when nobody checks, and how one deliberate habit prevents it.You can read it in an evening. But run the prompts on your own work as you go, and you'll finish it already changed.The future belongs to the people who direct AI - not the ones it fools.

How to Direct AI Instead of Being Fooled by It

Stop. It Only Looks Right

Building Software with Vibe Coding

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