Agentic Vibe Coding: Build Autonomous AI Apps That Think, Plan, and Execute: Harness Multi-Agent Workflows, MCP, and AI Coding Tools to Automate Complex Projects and Accelerate Development - Softcover
Synopsis
Are your AI workflows stuck in endless loops of manual prompts and fragmented automation? Many developers and teams struggle to coordinate multiple AI agents effectively, losing time and momentum while trying to maintain context, manage dependencies, and scale systems reliably.
Agentic Vibe Coding: Build Autonomous AI Apps That Think, Plan, and Execute offers a complete blueprint to harness the power of multi-agent AI. This book shows you how to orchestrate intelligent agents, manage persistent context with MCP, and integrate AI coding tools to handle complex projects efficiently—transforming fragmented workflows into cohesive, high-performing systems.
Inside this book, you’ll learn how to:
Structure multi-agent workflows that think, plan, and execute tasks autonomously.
Implement MCP for persistent context, memory management, and inter-agent communication.
Use tools like Claude Code, LangChain, AutoGen, and CrewAI to automate coding, workflow management, and real-world tasks.
Build scalable, reliable systems with robust error handling, logging, and observability.
Optimize AI agents for productivity, task allocation, and collaborative workflows across teams or applications.
Whether you’re a developer, engineer, or technical leader, this book equips you with practical techniques, working examples, and templates to accelerate AI-driven workflows, reduce human bottlenecks, and design systems that scale confidently.
Take control of your AI systems today. Transform scattered automation into intelligent, coordinated agentic apps and bring clarity, efficiency, and performance to every project you tackle.
"synopsis" may belong to another edition of this title.
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Agentic Vibe Coding: Build Autonomous AI Apps That Think, Plan, and Execute: Harness Multi-Agent Workflows, MCP, and AI Coding Tools to Automate Complex Projects and Accelerate Development
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Paperback. Condition: new. Paperback. Are your AI workflows stuck in endless loops of manual prompts and fragmented automation? Many developers and teams struggle to coordinate multiple AI agents effectively, losing time and momentum while trying to maintain context, manage dependencies, and scale systems reliably.Agentic Vibe Coding: Build Autonomous AI Apps That Think, Plan, and Execute offers a complete blueprint to harness the power of multi-agent AI. This book shows you how to orchestrate intelligent agents, manage persistent context with MCP, and integrate AI coding tools to handle complex projects efficiently-transforming fragmented workflows into cohesive, high-performing systems.Inside this book, you'll learn how to: Structure multi-agent workflows that think, plan, and execute tasks autonomously.Implement MCP for persistent context, memory management, and inter-agent communication.Use tools like Claude Code, LangChain, AutoGen, and CrewAI to automate coding, workflow management, and real-world tasks.Build scalable, reliable systems with robust error handling, logging, and observability.Optimize AI agents for productivity, task allocation, and collaborative workflows across teams or applications.Whether you're a developer, engineer, or technical leader, this book equips you with practical techniques, working examples, and templates to accelerate AI-driven workflows, reduce human bottlenecks, and design systems that scale confidently.Take control of your AI systems today. Transform scattered automation into intelligent, coordinated agentic apps and bring clarity, efficiency, and performance to every project you tackle. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798197255389
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Agentic Vibe Coding : Build Autonomous AI Apps That Think, Plan, and Execute: Harness Multi-Agent Workflows, MCP, and AI Coding Tools to Automate Complex Projects and Accelerate Development
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