Architecting Multi-Agent Systems with Claude Code: A Developer’s Guide to Design, Implement, and Debug Modular AI Agents for Complex Coding Tasks - Tapa blanda

Architecting Multi-Agent Systems with Claude Code (Paperback)

Paperback. Condición: new. Paperback. What If Your Code Could Architect Itself?Picture a development environment where AI agents collaborate to design, implement, and debug your software, each agent specialized in a unique aspect of the coding process, working together to tackle complexity with precision. This isn't a distant dream, it's the reality with Claude Code's multi-agent systems.This book is your comprehensive guide to mastering the art of architecting multi-agent systems with Claude Code. It introduces a new paradigm for developers, enabling you to create modular AI agents that handle complex coding tasks with efficiency and intelligence. Whether you're designing scalable architectures, implementing robust APIs, or debugging intricate codebases, this book equips you with the tools to leverage AI agents at every stage of development.Inside, you won't find abstract theory, you'll build real systems. Through hands-on examples, you'll create: Automated refactoring pipelines that optimize and maintain your codebaseCollaborative debugging workflows that identify and resolve issues across modulesIntelligent code generation agents that adapt to your project's evolving needsYou'll gain the skills to design agent hierarchies, optimize communication protocols, and manage context across agents essential techniques for scaling and maintaining intelligent developer workflows. This isn't just a technical manual; it's a vision for the future of software engineering, where AI and human developers work in harmony to solve the most challenging problems.If you're ready to elevate your development process and harness the full potential of AI, this book is your essential guide to building smarter, more autonomous coding systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798296980823

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