Crowden alistair (27 resultados)

Paperback. Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

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Paperback. Condición: new. Paperback. Transform your development workflow from reactive to revolutionary with Claude, Anthropic's cutting-edge AI assistant that's redefining how modern developers write code, debug systems, and architect solutions. Vibe Coding with Claude is your comprehensive guide to leveraging artificial intelligence as a true development partner-not just a code completion tool. This book takes you beyond simple prompts and generic responses, revealing advanced techniques for context management, iterative refinement, and architectural decision-making that professional developers use to 10x their productivity.Whether you're building full-stack web applications, automating DevOps pipelines, or architecting cloud-native systems, you'll discover how to collaborate with Claude to tackle complex technical challenges. Learn to craft precision prompts that generate production-quality code, debug mysterious errors in seconds, and refactor legacy systems with confidence. Master the art of conversational development where AI understands your intent, maintains context across sessions, and suggests solutions you hadn't considered.Inside, you'll explore real-world scenarios: migrating monoliths to microservices, implementing CI/CD pipelines, optimizing database queries, securing APIs, and much more. Each chapter combines theoretical foundations with hands-on projects, complete with prompt templates, workflow patterns, and best practices refined by experienced developers.Stop writing boilerplate. Stop searching documentation for hours. Stop context-switching between tools. Start vibe coding-where your ideas flow directly into executable solutions, and AI handles the heavy lifting. Perfect for software engineers, DevOps practitioners, technical leads, and anyone ready to embrace the future of human-AI collaboration in software development. Ready to revolutionize your development workflow?Turn the page and start building. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. In the rapidly evolving landscape of large language model architectures, Claude-based systems have emerged as a powerful platform for building sophisticated multi-agent workflows. Multi-Agent Coordination in Claude Systems (2026) provides an advanced, practitioner-focused guide to designing, implementing, and optimizing multi-agent systems using Claude's unique capabilities for subagent orchestration and parallel task execution. Written by renowned AI systems architect Alistair Crowden, this book delves deep into the theoretical foundations and practical engineering of coordinated agent networks. From granular subagent decomposition strategies to high-throughput parallel processing patterns, readers will master techniques for achieving emergent intelligence, robustness, and scalability in complex autonomous systems. Whether you're building enterprise-grade automation pipelines, research-grade multi-agent simulations, or production AI orchestration platforms, this comprehensive volume equips you with battle-tested architectures, performance optimization frameworks, and real-world deployment patterns specifically tailored to Claude's evolving ecosystem.Ideal for senior AI engineers, machine learning architects, and researchers pushing the boundaries of agentic systems, this book bridges cutting-edge theory with production-ready implementation-preparing you for the next generation of distributed AI intelligence. Secure your copy today and gain the definitive advantage in mastering multi-agent coordination within Claude systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. As enterprises increasingly adopt Claude for mission-critical automation, mastering the Claude SDK becomes essential for building robust, scalable workflows that extend far beyond simple prompting. Complex Workflow Design with Claude SDK (2026) offers an authoritative, engineering-centric deep dive into designing, implementing, and optimizing sophisticated workflows using Anthropic's Claude SDK, with special emphasis on high-volume batch processing and the creation of powerful custom internal tools. Renowned AI workflow architect Alistair Crowden delivers production-grade patterns for orchestrating long-running processes, managing state across thousands of parallel executions, and engineering bespoke tools that seamlessly integrate with Claude's reasoning engine. Readers will gain expertise in advanced SDK features, error-resilient batch architectures, tool schema design, streaming paradigms, and cost-aware scaling strategies tailored for real-world enterprise deployments. Whether you're automating data pipelines, building internal AI-powered platforms, processing massive document corpora, or creating domain-specific tool ecosystems, this book equips senior developers, ML engineers, and system architects with the definitive toolkit for unlocking Claude's full potential in complex, production-grade environments. Secure your competitive edge in enterprise AI automation-order your copy today and master complex workflow engineering with the Claude SDK. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. This book examines the engineering challenges and architectural patterns required to deploy agentic AI systems in production environments. It addresses multi-agent orchestration, system reliability, observability, governance, and scaling considerations that arise when moving beyond experimental prototypes to enterprise-grade deployments. Drawing on current practices in distributed systems, workflow coordination, failure recovery, and performance management, the content focuses on technical implementations suitable for professionals already familiar with AI development, large language models, and production infrastructure. Topics include agent specialization, coordination mechanisms, cost control, observability pipelines, and integration with existing enterprise stacks. The material assumes working knowledge of AI frameworks, cloud operations, and software engineering principles. It is intended for AI engineers, machine learning practitioners, and technical leads responsible for building and maintaining reliable agentic applications at scale in 2026 and beyond. If you are an experienced professional seeking detailed, practical insights into productionizing multi-agent systems, this reference provides structured analysis of the relevant engineering approaches. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. This volume examines the technical implementation of local large language model orchestration within the OpenClaw framework, focusing on integration with Ollama for on-device inference and hybrid routing that incorporates GPT-series and Claude API endpoints. It details configuration approaches, prompt routing logic, context management across heterogeneous models, performance characteristics of quantized local models, and architectural patterns for combining cloud reasoning with local execution in autonomous agent workflows. Key topics include provider configuration in OpenClaw's JSON schema, model failover and load balancing mechanisms, tool execution in mixed-inference environments, memory persistence strategies compatible with Ollama endpoints, and optimization techniques for latency-sensitive operations on consumer-grade hardware. The discussion emphasizes practical considerations for production-grade deployments, such as security boundaries between local and remote inference, error handling in multi-provider setups, and extension of agent capabilities through Ollama-hosted specialized models. Intended for software developers, AI systems engineers, and infrastructure specialists with existing experience in agent frameworks, LLM APIs, container orchestration, and local inference tooling. Familiarity with OpenAI-compatible endpoints, YAML/JSON configuration, and Python-based tooling is assumed.Incorporate this technical reference into your workflow to implement robust, privacy-preserving agent orchestration in 2026 environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. In today's data-driven enterprises, analytics teams need scalable, secure, and efficient machine learning workflows that leverage the full power of their data warehouse without unnecessary data movement. Machine Learning Workflows: Feature Engineering, Model Training, and Deployment Architectures Using Snowpark for Analytics Teams, penned by Alistair Crowden, delivers a comprehensive guide to building end-to-end ML pipelines directly within Snowflake using Snowpark. This advanced technical book explores the Snowpark framework-Snowflake's developer-centric platform for Python, Java, and Scala-to enable feature engineering at scale, distributed model training, hyperparameter optimization, and production-grade deployment architectures. Written for experienced data scientists, ML engineers, and analytics leaders, it combines deep architectural insights with practical code examples, best practices, and real-world patterns drawn from enterprise deployments. Whether you're modernizing legacy ML processes, reducing infrastructure sprawl, or building governed ML operations on governed data, this book equips you with the knowledge to design robust, performant, and cost-effective workflows that integrate seamlessly with Snowflake's ecosystem. Take your analytics team's machine learning capabilities to the next level-master Snowpark and deliver production-ready models faster and more reliably. Ideal for organizations committed to warehouse-centric ML innovation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: New.

Paperback. Condición: new. Paperback. In the era of microservices, cloud-native applications, and interconnected ecosystems, mastering the design, implementation, and consumption of robust APIs is essential for modern software development teams. Application Programming Interfaces: REST Integration, Authentication Methods, and Automation Patterns for Software Development Teams, authored by Alistair Crowden, provides an in-depth, practical guide to building secure, scalable, and maintainable RESTful APIs that power today's digital infrastructure. This advanced technical book delves into the full lifecycle of API development-from architectural principles and HTTP semantics to sophisticated authentication mechanisms, rate limiting, versioning strategies, and automated testing pipelines. Packed with real-world code examples in multiple languages, architectural diagrams, and enterprise patterns, it equips backend engineers, full-stack developers, and technical leads with the tools to deliver high-performance APIs that integrate seamlessly across heterogeneous systems. Whether you're designing internal microservices, exposing public endpoints, or automating complex workflows through API orchestration, this book offers proven strategies to reduce integration friction, enhance security postures, and accelerate delivery cycles. Elevate your team's API craftsmanship and build resilient, future-proof integrations-master the art and science of modern API development 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. 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. Transform your development workflow from reactive to revolutionary with Claude, Anthropic's cutting-edge AI assistant that's redefining how modern developers write code, debug systems, and architect solutions. Vibe Coding with Claude is your comprehensive guide to leveraging artificial intelligence as a true development partner-not just a code completion tool. This book takes you beyond simple prompts and generic responses, revealing advanced techniques for context management, iterative refinement, and architectural decision-making that professional developers use to 10x their productivity.Whether you're building full-stack web applications, automating DevOps pipelines, or architecting cloud-native systems, you'll discover how to collaborate with Claude to tackle complex technical challenges. Learn to craft precision prompts that generate production-quality code, debug mysterious errors in seconds, and refactor legacy systems with confidence. Master the art of conversational development where AI understands your intent, maintains context across sessions, and suggests solutions you hadn't considered.Inside, you'll explore real-world scenarios: migrating monoliths to microservices, implementing CI/CD pipelines, optimizing database queries, securing APIs, and much more. Each chapter combines theoretical foundations with hands-on projects, complete with prompt templates, workflow patterns, and best practices refined by experienced developers.Stop writing boilerplate. Stop searching documentation for hours. Stop context-switching between tools. Start vibe coding-where your ideas flow directly into executable solutions, and AI handles the heavy lifting. Perfect for software engineers, DevOps practitioners, technical leads, and anyone ready to embrace the future of human-AI collaboration in software development. Ready to revolutionize your development workflow?Turn the page and start building. 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. In the rapidly evolving landscape of large language model architectures, Claude-based systems have emerged as a powerful platform for building sophisticated multi-agent workflows. Multi-Agent Coordination in Claude Systems (2026) provides an advanced, practitioner-focused guide to designing, implementing, and optimizing multi-agent systems using Claude's unique capabilities for subagent orchestration and parallel task execution. Written by renowned AI systems architect Alistair Crowden, this book delves deep into the theoretical foundations and practical engineering of coordinated agent networks. From granular subagent decomposition strategies to high-throughput parallel processing patterns, readers will master techniques for achieving emergent intelligence, robustness, and scalability in complex autonomous systems. Whether you're building enterprise-grade automation pipelines, research-grade multi-agent simulations, or production AI orchestration platforms, this comprehensive volume equips you with battle-tested architectures, performance optimization frameworks, and real-world deployment patterns specifically tailored to Claude's evolving ecosystem.Ideal for senior AI engineers, machine learning architects, and researchers pushing the boundaries of agentic systems, this book bridges cutting-edge theory with production-ready implementation-preparing you for the next generation of distributed AI intelligence. Secure your copy today and gain the definitive advantage in mastering multi-agent coordination within Claude 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. …

Paperback. Condición: new. Paperback. As enterprises increasingly adopt Claude for mission-critical automation, mastering the Claude SDK becomes essential for building robust, scalable workflows that extend far beyond simple prompting. Complex Workflow Design with Claude SDK (2026) offers an authoritative, engineering-centric deep dive into designing, implementing, and optimizing sophisticated workflows using Anthropic's Claude SDK, with special emphasis on high-volume batch processing and the creation of powerful custom internal tools. Renowned AI workflow architect Alistair Crowden delivers production-grade patterns for orchestrating long-running processes, managing state across thousands of parallel executions, and engineering bespoke tools that seamlessly integrate with Claude's reasoning engine. Readers will gain expertise in advanced SDK features, error-resilient batch architectures, tool schema design, streaming paradigms, and cost-aware scaling strategies tailored for real-world enterprise deployments. Whether you're automating data pipelines, building internal AI-powered platforms, processing massive document corpora, or creating domain-specific tool ecosystems, this book equips senior developers, ML engineers, and system architects with the definitive toolkit for unlocking Claude's full potential in complex, production-grade environments. Secure your competitive edge in enterprise AI automation-order your copy today and master complex workflow engineering with the Claude SDK. 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. In today's data-driven enterprises, analytics teams need scalable, secure, and efficient machine learning workflows that leverage the full power of their data warehouse without unnecessary data movement. Machine Learning Workflows: Feature Engineering, Model Training, and Deployment Architectures Using Snowpark for Analytics Teams, penned by Alistair Crowden, delivers a comprehensive guide to building end-to-end ML pipelines directly within Snowflake using Snowpark. This advanced technical book explores the Snowpark framework-Snowflake's developer-centric platform for Python, Java, and Scala-to enable feature engineering at scale, distributed model training, hyperparameter optimization, and production-grade deployment architectures. Written for experienced data scientists, ML engineers, and analytics leaders, it combines deep architectural insights with practical code examples, best practices, and real-world patterns drawn from enterprise deployments. Whether you're modernizing legacy ML processes, reducing infrastructure sprawl, or building governed ML operations on governed data, this book equips you with the knowledge to design robust, performant, and cost-effective workflows that integrate seamlessly with Snowflake's ecosystem. Take your analytics team's machine learning capabilities to the next level-master Snowpark and deliver production-ready models faster and more reliably. Ideal for organizations committed to warehouse-centric ML innovation. 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. This volume examines the technical implementation of local large language model orchestration within the OpenClaw framework, focusing on integration with Ollama for on-device inference and hybrid routing that incorporates GPT-series and Claude API endpoints. It details configuration approaches, prompt routing logic, context management across heterogeneous models, performance characteristics of quantized local models, and architectural patterns for combining cloud reasoning with local execution in autonomous agent workflows. Key topics include provider configuration in OpenClaw's JSON schema, model failover and load balancing mechanisms, tool execution in mixed-inference environments, memory persistence strategies compatible with Ollama endpoints, and optimization techniques for latency-sensitive operations on consumer-grade hardware. The discussion emphasizes practical considerations for production-grade deployments, such as security boundaries between local and remote inference, error handling in multi-provider setups, and extension of agent capabilities through Ollama-hosted specialized models. Intended for software developers, AI systems engineers, and infrastructure specialists with existing experience in agent frameworks, LLM APIs, container orchestration, and local inference tooling. Familiarity with OpenAI-compatible endpoints, YAML/JSON configuration, and Python-based tooling is assumed.Incorporate this technical reference into your workflow to implement robust, privacy-preserving agent orchestration in 2026 environments. 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. In the era of microservices, cloud-native applications, and interconnected ecosystems, mastering the design, implementation, and consumption of robust APIs is essential for modern software development teams. Application Programming Interfaces: REST Integration, Authentication Methods, and Automation Patterns for Software Development Teams, authored by Alistair Crowden, provides an in-depth, practical guide to building secure, scalable, and maintainable RESTful APIs that power today's digital infrastructure. This advanced technical book delves into the full lifecycle of API development-from architectural principles and HTTP semantics to sophisticated authentication mechanisms, rate limiting, versioning strategies, and automated testing pipelines. Packed with real-world code examples in multiple languages, architectural diagrams, and enterprise patterns, it equips backend engineers, full-stack developers, and technical leads with the tools to deliver high-performance APIs that integrate seamlessly across heterogeneous systems. Whether you're designing internal microservices, exposing public endpoints, or automating complex workflows through API orchestration, this book offers proven strategies to reduce integration friction, enhance security postures, and accelerate delivery cycles. Elevate your team's API craftsmanship and build resilient, future-proof integrations-master the art and science of modern API development 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. This book examines the engineering challenges and architectural patterns required to deploy agentic AI systems in production environments. It addresses multi-agent orchestration, system reliability, observability, governance, and scaling considerations that arise when moving beyond experimental prototypes to enterprise-grade deployments. Drawing on current practices in distributed systems, workflow coordination, failure recovery, and performance management, the content focuses on technical implementations suitable for professionals already familiar with AI development, large language models, and production infrastructure. Topics include agent specialization, coordination mechanisms, cost control, observability pipelines, and integration with existing enterprise stacks. The material assumes working knowledge of AI frameworks, cloud operations, and software engineering principles. It is intended for AI engineers, machine learning practitioners, and technical leads responsible for building and maintaining reliable agentic applications at scale in 2026 and beyond. If you are an experienced professional seeking detailed, practical insights into productionizing multi-agent systems, this reference provides structured analysis of the relevant engineering approaches. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…