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About This Book

Agentic Coding for Beginners: A Practical Guide to Building AI-Assisted Workflows with ChatGPT, Copilot, and Multi-Agent Systems is designed for software engineers, technical learners, and curious builders exploring the next phase of intelligent software development. The book introduces agentic coding, a structured approach in which AI agents plan, act, evaluate, and improve through continuous feedback.

Who This Book Is For

This book is written for developers ready to move beyond passive AI assistance into active collaboration with intelligent systems. Whether you use VS Code, GitHub Copilot, Cursor, or ChatGPT, this guide will help you understand how to design autonomous workflows that enhance productivity and reliability.

You don’t need a deep AI background to start. Basic programming knowledge and curiosity about automation are enough. Each section is written to be practical, clear, and directly applicable to real development workflows.

What You’ll Learn

You’ll explore the foundations and practice of agentic coding through examples, walkthroughs, and conceptual discussions:

* How agents plan, execute, and self-evaluate tasks

* Setting up your development environment for agentic workflows

* Designing single- and multi-agent systems using frameworks like CrewAI and AutoGen

* Managing memory, context, and iterative feedback loops

* Ensuring safety, alignment, and human oversight in autonomous systems

* Applying constructionist learning to enhance agent performance

Each concept builds toward mastery, preparing you to build and refine your own intelligent coding agents.

Why It Belongs on Leanpub

Leanpub’s iterative publishing model aligns perfectly with the spirit of agentic development. Just as agents learn by doing, this book grows with the ecosystem, evolving as tools, frameworks, and best practices advance. Readers gain lifetime access to updates, new examples, and refined workflows as the field progresses.

How to Read This Book

Start at the beginning if you’re new to agentic systems, or jump into practical chapters if you prefer learning by experimentation. The book is structured so that theory, design, and implementation reinforce each other. Real projects and walkthroughs anchor the concepts, ensuring you can apply them directly in your workflow.

This is not just a technical manual. It’s a guide to building confidence, understanding, and creativity with intelligent tools, an essential step toward mastering the future of software development.

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