Agentic AI Engineering with Claude Code and MCP
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Home > Computing and Information Technology Books > Computer Science Books > Human–computer interaction > Agentic AI Engineering with Claude Code and MCP: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering
Agentic AI Engineering with Claude Code and MCP: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering
Agentic AI Engineering with Claude Code and MCP: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering

Agentic AI Engineering with Claude Code and MCP: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering


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Agentic AI Engineering with Claude Code and MCP: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering
Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering
Format: Paperback

About the Book

Stop Prompting. Start Engineering AI Systems That Actually Work.

If you're still relying on prompts to build with AI, you're already behind.

Prompt-based coding breaks the moment your projects grow, outputs become inconsistent, workflows collapse, and control disappears. That's why top developers are shifting to agentic AI engineering: building systems that think, act, and execute reliably.

This book shows you how to do exactly that.

2 What You'll Learn Inside

This is not another "AI tools" book.

This is a practical, system-level guide for developers who want to move beyond experimentation and start building production-ready AI systems using Claude Code and Model Context Protocol (MCP).

Inside, you'll learn how to:

- Design agentic workflows that are predictable, scalable, and controllable

- Build and orchestrate multi-agent systems that solve real development problems

- Use context engineering to eliminate randomness and improve output reliability

- Implement persistent memory systems for long-term AI reasoning

- Automate development with commands, hooks, and workflow pipelines

- Integrate AI into real tools using MCP for structured context sharing

- Debug, monitor, and control AI systems like a professional engineer

- Build a complete production-ready AI SaaS system from scratch

Built for Developers Who Want Real Results

This book is for:

- Developers tired of inconsistent AI outputs

- Engineers ready to build scalable AI workflows

- Builders who want to turn AI into a reliable system not a guessing tool

If you understand coding but feel stuck with AI tools, this book bridges that gap.

Why This Book Is Different

Most books stop at prompting.

This one shows you how to:

  • Design systems
  • Control behavior
  • Scale workflows
  • Build real applications

By the end, you won't just "use AI."

You'll engineer it.

The Future of Development Is Agentic

AI is no longer a tool, it's becoming a system.

The developers who win are the ones who know how to design, control, and scale it.

This book gives you that advantage.

If you're serious about building real AI-powered systems not just experimenting, this is the guide you've been looking for.

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Product Details
  • ISBN-13: 9798258305527
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 432
  • Returnable: N
  • Sub Title: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering
  • Width: 152 mm
  • ISBN-10: 8258305522
  • Publisher Date: 21 Apr 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 22 mm
  • Weight: 625 gr

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