Monroe Keiko (57 results)

Taschenbuch. Condition: Neu. Neuware - What happens when an AI system can do more than generate a function It can inspect a repository, understand a development task, create a plan, modify multiple files, run commands, execute tests, analyze failures, and continue working until it reaches a solution.Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering explores the technologies and engineering principles behind this new generation of autonomous software development systems.This book takes readers beyond traditional AI coding assistants and into the architecture of coding agents. You will learn how LLM-powered agents reason about development tasks, break complex goals into smaller actions, use external tools, manage memory, retrieve relevant information, and evaluate their own results.A major focus is placed on advanced prompt engineering and context design. Readers will discover how system instructions, task decomposition, structured outputs, retrieval, feedback loops, and verification strategies can dramatically improve the reliability of autonomous coding systems.From single-agent workflows to collaborative multi-agent architectures, the book provides a practical framework for building AI systems capable of performing meaningful software engineering tasks.You will also explore testing, security, observability, failure recovery, and human oversight critical components for moving agentic coding from impressive demonstrations to dependable engineering tools.For developers, AI engineers, and builders preparing for the next era of software development, this book provides the knowledge needed to design, build, and control autonomous coding systems powered by Large Language Models.…

Taschenbuch. Condition: Neu. Neuware - This book examines advanced vibe coding practices and their integration with AI tools to enhance development workflows in modern software engineering. It addresses techniques for maintaining flow states, leveraging contextual AI assistance, optimizing iteration cycles, and improving code quality through intuitive yet structured approaches suited to professional environments.Written for experienced developers and engineering leads, the content explores architectural considerations, tooling ecosystems, team collaboration patterns, and productivity measurement in AI-augmented settings. Topics include prompt engineering at scale, context management across large codebases, hybrid human-AI decision processes, and sustainable practices that align technical excellence with long-term maintainability.Targeted at professional software engineers seeking to refine their craft in an era of rapidly evolving AI capabilities.If you are an experienced developer looking to elevate your workflow with purposeful AI integration, this book provides the detailed frameworks and insights needed to advance your practice.…

Taschenbuch. Condition: Neu. Neuware - This book presents advanced techniques for developing MCP servers in Python, with emphasis on reliable communication protocols for AI agents and seamless integration with enterprise systems. It explores server architecture, message handling, protocol design, scalability strategies, and production deployment considerations for professional software engineers and system architects working on complex AI-driven environments.Targeted at experienced Python developers and technical leads, the content assumes familiarity with asynchronous programming, networking fundamentals, and distributed systems. Readers will find detailed coverage of server lifecycle management, custom protocol extensions, security implementations, and performance optimization approaches suitable for real-world production use.If you develop AI infrastructure or build backend services that connect intelligent agents with enterprise platforms, this resource provides the in-depth technical guidance required for professional implementation. …

Taschenbuch. Condition: Neu. Neuware - Artificial intelligence is no longer peripheral to education it is increasingly embedded in how institutions plan instruction, assess learners, and personalize academic pathways. Yet most available literature either oversimplifies the technology or targets developers rather than the professionals who deploy it daily. AI for Educators in Practice addresses that gap directly.Written for experienced classroom practitioners, curriculum coordinators, instructional designers, and institutional decision-makers, this book provides a rigorous, field-grounded examination of how intelligent systems function within real educational environments. It does not assume a technical background in computer science, but it does assume professional familiarity with pedagogical frameworks, institutional structures, and the complex realities of modern teaching.Across ten structured chapters, readers will examine the foundational architecture of AI systems relevant to education, explore how adaptive learning platforms personalize content delivery at scale, and evaluate the practical and ethical dimensions of deploying AI teaching assistants in live instructional settings. The book addresses student performance analytics with an emphasis on data interpretation, equity considerations, and institutional accountability. Generative AI applications including AI-powered lesson planning, automated feedback systems, and content generation tools are analyzed with critical depth, not promotional enthusiasm.Each chapter integrates current research, documented case implementations from K-12 and higher education contexts, and frameworks educators can apply to their own institutional decisions. The book also addresses policy alignment, digital equity, faculty adoption challenges, and the evolving regulatory landscape surrounding educational data.This is not an introductory survey. It is a practitioner-level reference for professionals who are already navigating EdTech ecosystems and need analytical frameworks, not simplified tutorials.If you are an educator, administrator, or instructional strategist ready to engage with AI not as a novelty but as a professional instrument this book belongs in your institutional library. Secure your copy today and equip your practice with the depth this technological shift demands.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - This professional reference explores the n8n automation platform with focus on practical implementation of complex workflows, advanced node orchestration, and seamless system integration. Written for experienced developers, automation engineers, and technical business teams, the book details architecture patterns, data handling strategies, custom extensions, scaling approaches, and enterprise deployment considerations.Readers will find in-depth coverage of workflow logic, API integrations, error management, performance optimization, and security implementation within production environments. The content emphasizes technical depth suitable for professionals seeking to leverage n8n for sophisticated automation solutions across development and business operations.If you are an experienced developer or technical decision-maker looking to implement robust automation systems with n8n, this book provides the structured knowledge required for effective application.…

Taschenbuch. Condition: Neu. Neuware - As artificial intelligence transitions from isolated models to interconnected, decision-making networks, the discipline of multi-agent orchestration has become a critical competency for senior engineers and AI architects. The demand for systems where autonomous agents communicate, negotiate, delegate, and collaborate at scale is no longer theoretical - it is an operational reality across enterprise AI deployments, autonomous pipelines, and large-scale LLM-powered infrastructures.This book addresses that reality with technical rigor and architectural depth. Written for experienced AI practitioners, software architects, and research engineers, it examines the structural principles, coordination protocols, and deployment patterns that define production-grade multi-agent systems. Readers will engage with the formal mechanisms behind agent role specialization, inter-agent messaging, consensus formation, fault tolerance, and decentralized task execution - without abstraction or oversimplification.The material draws on established frameworks, emerging industry standards, and applied architectural analysis to present a cohesive body of knowledge. Topics span agent communication languages, orchestration topologies, LLM-native agent design, tool-use coordination, memory and state synchronization across distributed agents, ethical governance of autonomous decision chains, and observability in non-deterministic environments.This is not an introductory treatment. Readers are expected to bring working knowledge of distributed systems, machine learning pipelines, and software architecture. The content is structured to extend that foundation into the specialized domain of agentic AI design - where coordination complexity, emergent behavior, and systemic reliability intersect.If you are an engineer or architect responsible for designing, evaluating, or scaling intelligent agent systems, this book provides the technical frameworks and analytical depth your work demands. Add it to your professional library and engage with the structural discipline that defines the next generation of AI infrastructure.…

Taschenbuch. Condition: Neu. Neuware - The ability to communicate effectively with AI is becoming a fundamental programming skill.Prompt to Program: AI Prompt Engineering and LLM-Powered Coding with Generative AI teaches developers how to transform ideas, requirements, and natural-language instructions into working software using Large Language Models.The book begins with a simple but powerful question: How do you ask an AI to build the software you actually want Readers will learn the principles of prompt engineering specifically for programming. From simple code-generation prompts to complex application specifications, you will discover how to provide context, define constraints, describe architecture, request structured outputs, and guide AI through multi-step development tasks.Rather than treating AI as a magic code generator, this book presents prompting as an engineering discipline. You will learn how to decompose problems, create reusable prompt patterns, validate generated code, debug AI mistakes, and establish feedback loops that continuously improve results.As projects become larger, the book introduces context engineering, repository-aware prompting, automated testing, documentation generation, and AI-driven refactoring.The final chapters explore the transition from prompt-based programming to agentic development, showing how carefully designed instructions can power AI systems that plan, execute, test, and improve software with increasing levels of autonomy.Whether you are an experienced developer, beginner programmer, technical founder, or AI enthusiast, this book will help you develop the skills to turn a well-designed prompt into reliable, maintainable software.…

Taschenbuch. Condition: Neu. Neuware - Use Windsurf AI to spend less time on repetitive development tasks and more time solving meaningful problems.Windsurf AI for Productivity focuses on practical ways to increase developer efficiency through AI-assisted planning, code generation, debugging, testing, refactoring, documentation, and workflow automation. You will learn how to identify time-consuming tasks, build reusable prompt templates, create standardized AI workflows, and reduce unnecessary manual effort.The book also addresses a critical productivity issue: AI is only useful when its output saves more time than it creates. You will learn how to review responses efficiently, prevent low-quality changes, and determine which tasks should remain under direct human control.Ideal for developers, freelancers, technical professionals, and teams, this guide helps you build a sustainable Windsurf AI productivity system rather than simply generating more code. …

Taschenbuch. Condition: Neu. Neuware - Software development is changing. Generative AI is no longer just an assistant that suggests the next line of code it can explain complex systems, generate applications, debug failures, write tests, review pull requests, and increasingly operate as an autonomous coding agent.Generative AI for Coding: Mastering LLMs, Prompt Engineering, and Agentic Coding is a practical guide for developers who want to understand and effectively use Large Language Models throughout the modern software development lifecycle.Starting with the foundations of generative AI and LLM-powered programming, the book explores how AI models understand code, generate solutions, and interact with development environments. Readers will learn how to design effective prompts, provide the right context, structure multi-step instructions, and improve AI-generated results through systematic prompt engineering.The journey then moves beyond simple AI-assisted coding into the world of agentic coding. You will explore how autonomous agents can plan tasks, use tools, inspect codebases, execute commands, test software, recover from errors, and collaborate with other agents.Through practical workflows, examples, and real-world development scenarios, this book shows how to combine human engineering judgment with the speed and capabilities of generative AI.Whether you are a software developer, AI engineer, technical professional, or curious programmer, this book will help you move from simply asking AI to write code to designing intelligent systems that can actively participate in the engineering process.…

Taschenbuch. Condition: Neu. Neuware - Design agentic AI workflows that can plan, execute, evaluate, and improve multi-step software tasks.Agentic AI Workflows provides a practical framework for building autonomous and semi-autonomous AI systems for real-world development projects. You will learn how to define goals, break work into tasks, manage context, connect tools, coordinate agents, validate results, recover from failures, and create reliable human approval points.Rather than focusing only on individual agents, this book emphasizes the workflows that connect AI decisions to meaningful actions. It explains how to structure multi-step processes for coding, debugging, testing, documentation, and other software development activities.Designed for developers, automation engineers, technical builders, and readers interested in advanced AI systems, this guide will help you move from experimental agents toward more dependable, observable, and maintainable agentic AI workflows.…

Taschenbuch. Condition: Neu. Neuware - Stop relying on random prompts and start using a repeatable system for building apps with AI.Vibe Coding Workflows teaches you how to transform natural-language instructions into functional applications through a structured Windsurf AI development process. You will learn how to organize ideas, define requirements, create useful prompts, develop one feature at a time, review changes, debug problems, test functionality, and refine finished applications.The focus is workflow. Instead of asking AI to create an entire app in one request, you will develop a systematic approach that improves consistency and reduces project confusion.This book is designed for beginners, entrepreneurs, indie builders, creators, and developers who want to make vibe coding more predictable. By the end, you will have a repeatable framework for taking future app ideas from initial concept to working software.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - The next generation of developers will not simply write every line of code themselves. They will design workflows in which humans and AI systems collaborate to plan, build, test, debug, and maintain software.The AI Developer's Guide to Agentic Coding: Harnessing LLMs, Prompt Engineering, and Generative AI is a practical roadmap for developers who want to become effective builders in this new AI-powered engineering environment.The book explains how Large Language Models are transforming everyday development workflows and how developers can move beyond basic chatbot interactions toward sophisticated, agent-driven software engineering.You will learn how to communicate effectively with LLMs using modern prompt engineering techniques, provide meaningful context, evaluate AI-generated code, and integrate generative AI into planning, implementation, debugging, testing, and documentation.The book then explores the foundations of agentic coding. Readers will discover how AI agents use goals, planning systems, memory, tools, feedback, and verification loops to perform complex software tasks with increasing autonomy.Practical chapters focus on building reliable coding workflows, designing tool-using agents, managing codebase context, coordinating multiple agents, and creating safety boundaries for autonomous systems.More than a guide to using AI tools, this book is about developing the mindset and skills required to thrive as a software engineer in an AI-native world.The AI Developer's Guide to Agentic Coding will help you understand not just how to use generative AI for programming, but how to architect intelligent development systems where humans remain in control while AI handles more of the execution. …

Paperback. Condition: new. Paperback. This book presents advanced techniques for developing MCP servers in Python, with emphasis on reliable communication protocols for AI agents and seamless integration with enterprise systems. It explores server architecture, message handling, protocol design, scalability strategies, and production deployment considerations for professional software engineers and system architects working on complex AI-driven environments.Targeted at experienced Python developers and technical leads, the content assumes familiarity with asynchronous programming, networking fundamentals, and distributed systems. Readers will find detailed coverage of server lifecycle management, custom protocol extensions, security implementations, and performance optimization approaches suitable for real-world production use.If you develop AI infrastructure or build backend services that connect intelligent agents with enterprise platforms, this resource provides the in-depth technical guidance required for professional implementation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. This professional reference explores the n8n automation platform with focus on practical implementation of complex workflows, advanced node orchestration, and seamless system integration. Written for experienced developers, automation engineers, and technical business teams, the book details architecture patterns, data handling strategies, custom extensions, scaling approaches, and enterprise deployment considerations.Readers will find in-depth coverage of workflow logic, API integrations, error management, performance optimization, and security implementation within production environments. The content emphasizes technical depth suitable for professionals seeking to leverage n8n for sophisticated automation solutions across development and business operations.If you are an experienced developer or technical decision-maker looking to implement robust automation systems with n8n, this book provides the structured knowledge required for effective application. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Artificial intelligence is no longer peripheral to education it is increasingly embedded in how institutions plan instruction, assess learners, and personalize academic pathways. Yet most available literature either oversimplifies the technology or targets developers rather than the professionals who deploy it daily. AI for Educators in Practice addresses that gap directly.Written for experienced classroom practitioners, curriculum coordinators, instructional designers, and institutional decision-makers, this book provides a rigorous, field-grounded examination of how intelligent systems function within real educational environments. It does not assume a technical background in computer science, but it does assume professional familiarity with pedagogical frameworks, institutional structures, and the complex realities of modern teaching.Across ten structured chapters, readers will examine the foundational architecture of AI systems relevant to education, explore how adaptive learning platforms personalize content delivery at scale, and evaluate the practical and ethical dimensions of deploying AI teaching assistants in live instructional settings. The book addresses student performance analytics with an emphasis on data interpretation, equity considerations, and institutional accountability. Generative AI applications including AI-powered lesson planning, automated feedback systems, and content generation tools are analyzed with critical depth, not promotional enthusiasm.Each chapter integrates current research, documented case implementations from K-12 and higher education contexts, and frameworks educators can apply to their own institutional decisions. The book also addresses policy alignment, digital equity, faculty adoption challenges, and the evolving regulatory landscape surrounding educational data.This is not an introductory survey. It is a practitioner-level reference for professionals who are already navigating EdTech ecosystems and need analytical frameworks, not simplified tutorials.If you are an educator, administrator, or instructional strategist ready to engage with AI not as a novelty but as a professional instrument this book belongs in your institutional library. Secure your copy today and equip your practice with the depth this technological shift demands. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.