Generative AI for Coding: Mastering LLMs, Prompt Engineering, and Agentic Coding (The AI-Powered Developer Series)

Software development is changing. Generative AI is no longer just an assistant that suggests the next line of code it can explain complex systems, generate applications, debug failures, write tests, review pull requests, and increasingly operate as an autonomous coding agent.
Generative AI for Coding: Mastering LLMs, Prompt Engineering, and Agentic Coding is a practical guide for developers who want to understand and effectively use Large Language Models throughout the modern software development lifecycle.
Starting with the foundations of generative AI and LLM-powered programming, the book explores how AI models understand code, generate solutions, and interact with development environments. Readers will learn how to design effective prompts, provide the right context, structure multi-step instructions, and improve AI-generated results through systematic prompt engineering.
The journey then moves beyond simple AI-assisted coding into the world of agentic coding. You will explore how autonomous agents can plan tasks, use tools, inspect codebases, execute commands, test software, recover from errors, and collaborate with other agents.
Through practical workflows, examples, and real-world development scenarios, this book shows how to combine human engineering judgment with the speed and capabilities of generative AI.
Whether you are a software developer, AI engineer, technical professional, or curious programmer, this book will help you move from simply asking AI to write code to designing intelligent systems that can actively participate in the engineering process.