SKU/Artículo: AMZ-B0GCZJHN4Y
Automating Context Engineering with Claude Code and MCP: Utilizing the Model Context Protocol to reduce manual file-feeding and improve code-generation accuracy in agent-native environments
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.26 kg
0.26 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Master the Next Frontier of AI-Driven DevelopmentThe era of manual "copy-paste" AI coding is over. As software systems grow in complexity, the traditional method of feeding files into a chat window has become a significant bottleneck, leading to "prompt bloat," context drift, and unreliable hallucinations. Automating Context Engineering with Claude Code and MCP provides the definitive roadmap for transitioning to an agent-native environment where AI doesn't just suggest code but autonomously navigates and understands your entire repository.Why This Book is Essential for 2026Software engineering has reached an inflection point where managing systemic complexity is the primary challenge. This book introduces Context Engineering, a disciplined approach to data orchestration that ensures your AI models have high-fidelity, real-time access to the exact information they need. By utilizing the Model Context Protocol (MCP), you can decouple your AI from static prompts and build a "nervous system" for your codebase that allows for surgical, just-in-time context delivery.What You Will Master:The Model Context Protocol (MCP) Deep Dive: Understand the client-server architecture, resources, prompts, and tools that enable universal connectivity between AI and data.Claude Code Integration: Learn to use Claude Code as a proactive collaborator capable of exploring repositories, running tests, and executing multi-step refactors independently.Agent-Native Workflows: Shift from prompt-centric tools to context-aware agents that manage their own environment, reducing human error and cognitive tax.Multi-Agent Coordination: Discover how to orchestrate specialized agents for security, development, and DevOps using a shared, standardized context layer.Scaling Across Repositories: Implement federated context models that allow AI agents to navigate microservices, cloud metrics, and internal documentation seamlessly.Practical Implementation: Follow step-by-step guides for setting up MCP servers, configuring security boundaries, and debugging large-scale deployments.Eliminate Hallucinations and Scale Your VelocityStop acting as a "human router" for your AI. Learn how to use structured context to ground your models in the absolute "source of truth," leading to fewer hallucinations and higher precision in code generation. Whether you are a software architect, a DevOps engineer, or a full-stack developer, this book will equip you to build scalable, reliable, and fully autonomous software agents.Take control of your AI's context and reclaim your flow state. Order your copy today and build the information architecture of the future.
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AR$64.144
49% OFF
AR$32.894
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