lanford craig (13 resultados)

Paperback. Condición: New.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. Master Cursor 2.0 for AI Coding: Transform Your Workflow with Agent-First Coding, Multi-Agent Workflows & Modern IDE PowerSoftware development is entering a new era; one where intelligent agents don't just support coding but actively participate in it. Master Cursor 2.0 for AI Coding is your practical, authoritative guide to building real software with Cursor's next-generation AI capabilities. This book shows you how to collaborate with AI as a true engineering partner while preserving precision, scalability, and professional code quality.Cursor 2.0 changes what it means to write software. It reasons about your instructions, interprets architectural intent, coordinates multi-agent workflows, rewrites and restructures entire codebases, and integrates deeply into the modern development lifecycle. Whether you build frontends, backends, full-stack applications, or polyglot systems, Cursor amplifies your speed without compromising reliability, if you know how to use it correctly.This book teaches you exactly how to do that.You'll learn how Cursor interprets context, understands your project's structure, reasons about patterns, and adapts to your preferred coding style. You'll see how to create reusable prompt templates, establish architectural guardrails, maintain full control over agent output, and scale AI collaboration across large systems. Through hands-on examples, real-world workflows, and detailed explanations, you'll build features, debug failures, refactor entire modules, and drive production-ready work with confidence.You'll also master the multi-agent features that allow different AI agents to coordinate across modules, collaborate on complex tasks, and maintain consistency across a growing codebase. From planning and scaffolding new projects to deploying production-focused systems, this book shows you how to turn Cursor into an extension of your engineering mind.Whether you're a beginner trying to code more efficiently or an experienced developer ready to evolve into a high-impact AI-accelerated engineer, this book gives you everything you need to work faster, smarter, and with more clarity than ever before.What This Book Will Help You AchieveYou will learn how to: - Design prompts that drive consistent, high-quality code- Build durable agent-first workflows that scale across teams- Transform large codebases through intelligent refactoring- Debug and fix issues with AI-guided precision- Coordinate multi-agent collaboration across complex features- Teach Cursor your architectural patterns, voice, and coding standards- Work confidently across multiple languages and frameworks- Integrate Cursor into CI/CD pipelines, tests, documentation, and deployment- Grow into a forward-thinking engineer who knows how to partner effectively with AIBy the time you finish, Cursor will no longer feel like an automated assistant. It will feel like a capable teammate; one that accelerates your creativity, strengthens your code, and helps you deliver production-ready features faster.The future of software development is being written right now, and it's being written with AI. Developers who learn to collaborate with intelligent agents will shape the next decade of engineering. Those who don't will spend that decade trying to catch up.Don't be on the sidelines.Take control of this new era.Master agent-first development.Build with speed, clarity, and confidence.Let Cursor amplify your talent, not replace it. Turn the page and begin your transformation into an AI-accelerated engineer today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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

Paperback. Condición: new. Paperback. Context Engineering for Modern AI: Strategies for Precision Prompting, Memory Management, and Reliable Agent WorkflowsModern AI systems don't fail because they lack intelligence, they fail because they lack context. As models grow more capable, the real skill is no longer simply "prompting." The real skill is engineering clear, stable, and reliable context that shapes how models think, reason, act, and collaborate.This book gives you the complete foundation you need to design, build, and maintain high-reliability AI systems through structured prompts, memory architectures, retrieval pipelines, tool-calling strategies, and multi-agent workflows. Whether you're a beginner trying to understand why some prompts work and others fail, or an experienced developer building production-grade AI systems, this book guides you with clarity and technical depth, without unnecessary jargon.You will learn how to construct effective prompts, create and manage long-term memory, build retrieval-augmented reasoning systems, engineer tool-based interactions, orchestrate multi-agent teams, and test AI behavior with the same rigor used in software engineering. The book introduces a practical framework that breaks context into layers-instruction, memory, data, and constraints, and shows how to use these layers to shape predictable model behavior.Through detailed explanations and real-world examples, you'll understand why models hallucinate, why workflows drift during long tasks, why agents lose track of goals, and how to prevent these problems with structured design. You will also learn how to build context servers, create self-healing workflows, scale hybrid pipelines, and enforce enterprise-level guardrails for safety and auditing.This book is more than a guide; it is a blueprint for engineering AI that thinks clearly, reasons reliably, and completes work with confidence. Every chapter focuses on practical methods, actionable patterns, and proven techniques drawn from modern AI engineering practices.What You Will Master- Precision prompting that shapes tone, behavior, and structure.- Context frameworks that reduce hallucination and improve reasoning.- Memory systems that prevent drift and enable long-running tasks.- Retrieval-augmented generation pipelines for high factual accuracy.- Tool-calling design for predictable interactions with external systems.- Multi-agent architectures that support coordination and specialization.- Testing, debugging, and evaluation methods for AI behavior.- Production patterns and safety principles for enterprise deployments.-Advanced techniques such as adaptive prompting, cross-model orchestration, and self-healing context loops.If you want to build AI systems that don't guess, systems that reason, retrieve, plan, coordinate, and complete real work, this book gives you the foundation and the practical toolkit to make it happen.Step into the next stage of AI development.Learn how to engineer context with precision.Start building AI you can trust.Your future AI systems begin with the context you design today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Master Cursor 2.0 for AI Coding: Transform Your Workflow with Agent-First Coding, Multi-Agent Workflows & Modern IDE PowerSoftware development is entering a new era; one where intelligent agents don't just support coding but actively participate in it. Master Cursor 2.0 for AI Coding is your practical, authoritative guide to building real software with Cursor's next-generation AI capabilities. This book shows you how to collaborate with AI as a true engineering partner while preserving precision, scalability, and professional code quality.Cursor 2.0 changes what it means to write software. It reasons about your instructions, interprets architectural intent, coordinates multi-agent workflows, rewrites and restructures entire codebases, and integrates deeply into the modern development lifecycle. Whether you build frontends, backends, full-stack applications, or polyglot systems, Cursor amplifies your speed without compromising reliability, if you know how to use it correctly.This book teaches you exactly how to do that.You'll learn how Cursor interprets context, understands your project's structure, reasons about patterns, and adapts to your preferred coding style. You'll see how to create reusable prompt templates, establish architectural guardrails, maintain full control over agent output, and scale AI collaboration across large systems. Through hands-on examples, real-world workflows, and detailed explanations, you'll build features, debug failures, refactor entire modules, and drive production-ready work with confidence.You'll also master the multi-agent features that allow different AI agents to coordinate across modules, collaborate on complex tasks, and maintain consistency across a growing codebase. From planning and scaffolding new projects to deploying production-focused systems, this book shows you how to turn Cursor into an extension of your engineering mind.Whether you're a beginner trying to code more efficiently or an experienced developer ready to evolve into a high-impact AI-accelerated engineer, this book gives you everything you need to work faster, smarter, and with more clarity than ever before.What This Book Will Help You AchieveYou will learn how to: - Design prompts that drive consistent, high-quality code- Build durable agent-first workflows that scale across teams- Transform large codebases through intelligent refactoring- Debug and fix issues with AI-guided precision- Coordinate multi-agent collaboration across complex features- Teach Cursor your architectural patterns, voice, and coding standards- Work confidently across multiple languages and frameworks- Integrate Cursor into CI/CD pipelines, tests, documentation, and deployment- Grow into a forward-thinking engineer who knows how to partner effectively with AIBy the time you finish, Cursor will no longer feel like an automated assistant. It will feel like a capable teammate; one that accelerates your creativity, strengthens your code, and helps you deliver production-ready features faster.The future of software development is being written right now, and it's being written with AI. Developers who learn to collaborate with intelligent agents will shape the next decade of engineering. Those who don't will spend that decade trying to catch up.Don't be on the sidelines.Take control of this new era.Master agent-first development.Build with speed, clarity, and confidence.Let Cursor amplify your talent, not replace it. Turn the page and begin your transformation into an AI-accelerated engineer today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Context Engineering for Modern AI: Strategies for Precision Prompting, Memory Management, and Reliable Agent WorkflowsModern AI systems don't fail because they lack intelligence, they fail because they lack context. As models grow more capable, the real skill is no longer simply "prompting." The real skill is engineering clear, stable, and reliable context that shapes how models think, reason, act, and collaborate.This book gives you the complete foundation you need to design, build, and maintain high-reliability AI systems through structured prompts, memory architectures, retrieval pipelines, tool-calling strategies, and multi-agent workflows. Whether you're a beginner trying to understand why some prompts work and others fail, or an experienced developer building production-grade AI systems, this book guides you with clarity and technical depth, without unnecessary jargon.You will learn how to construct effective prompts, create and manage long-term memory, build retrieval-augmented reasoning systems, engineer tool-based interactions, orchestrate multi-agent teams, and test AI behavior with the same rigor used in software engineering. The book introduces a practical framework that breaks context into layers-instruction, memory, data, and constraints, and shows how to use these layers to shape predictable model behavior.Through detailed explanations and real-world examples, you'll understand why models hallucinate, why workflows drift during long tasks, why agents lose track of goals, and how to prevent these problems with structured design. You will also learn how to build context servers, create self-healing workflows, scale hybrid pipelines, and enforce enterprise-level guardrails for safety and auditing.This book is more than a guide; it is a blueprint for engineering AI that thinks clearly, reasons reliably, and completes work with confidence. Every chapter focuses on practical methods, actionable patterns, and proven techniques drawn from modern AI engineering practices.What You Will Master- Precision prompting that shapes tone, behavior, and structure.- Context frameworks that reduce hallucination and improve reasoning.- Memory systems that prevent drift and enable long-running tasks.- Retrieval-augmented generation pipelines for high factual accuracy.- Tool-calling design for predictable interactions with external systems.- Multi-agent architectures that support coordination and specialization.- Testing, debugging, and evaluation methods for AI behavior.- Production patterns and safety principles for enterprise deployments.-Advanced techniques such as adaptive prompting, cross-model orchestration, and self-healing context loops.If you want to build AI systems that don't guess, systems that reason, retrieve, plan, coordinate, and complete real work, this book gives you the foundation and the practical toolkit to make it happen.Step into the next stage of AI development.Learn how to engineer context with precision.Start building AI you can trust.Your future AI systems begin with the context you design today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Advanced Analytics Engineering for AI Systems: Architecting Reliable Data Pipelines, Models, and Metrics for Production IntelligenceModern AI systems don't fail because of models.They fail because of data.Behind every successful AI product is a carefully engineered system that ensures data is accurate, consistent, timely, and trustworthy. This is where analytics engineering becomes the foundation of production intelligence.This book is your complete, practical guide to building that foundation.Advanced Analytics Engineering for AI Systems takes you beyond theory and into the real structure of modern data systems. You will learn how raw data is transformed into reliable pipelines, how analytical models are designed for clarity and performance, and how metrics are defined so that every number in your system means exactly what it should, every time.The focus is not on isolated tools or surface-level concepts. Instead, this book teaches you how to think in systems. You will understand how data flows from ingestion to transformation, how it supports machine learning, and how everything is orchestrated, monitored, and governed in production environments.As you progress, you will work through real-world scenarios that reflect the challenges faced in modern organizations. You will learn how to design ingestion pipelines that handle incomplete and evolving data, how to build deterministic transformations that produce consistent results, and how to structure data models that scale across teams and use cases.You will see how metrics are engineered as stable system components, ensuring that dashboards, reports, and models all rely on the same definitions. You will understand how feature pipelines are built to support machine learning without introducing inconsistencies between training and production.The book also guides you through workflow orchestration, showing how to coordinate complex pipelines and ensure reliable execution. You will learn how to monitor data freshness, detect anomalies, and maintain data quality over time. As your system grows, you will explore how to scale performance, manage costs, and support multiple teams working on the same platform.Finally, you will gain a clear understanding of governance, security, and long-term reliability. You will learn how to manage change without breaking systems, how to document and discover data assets, and how to build platforms that are both reliable and auditable.By the end of this book, you will not just understand analytics engineering, you will be able to design and build production-grade systems that support real-world AI applications.This book is written for data engineers, analytics engineers, machine learning engineers, and developers who want to move beyond fragmented workflows and build systems that are structured, scalable, and trusted.If you are serious about building AI systems that actually work in production, this is where you start.Take control of your data systems. Build with clarity. Engineer for reliability.Get your copy now and start designing analytics platforms that power intelligent, production-ready systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.