AI Agent Development: Engineering AI Agents with Python & JavaScript

Designing, Building, Deploying, and Scaling Intelligent AI Systems

De: Practicing Engineers Network

Narrado por: Virtual Voice

AI Agent Development

Designing, Building, Deploying & Scaling Intelligent AI Systems

AI is moving beyond chatbots. The next generation of intelligent systems is built around AI agents—software components that can reason, use tools, maintain memory, and operate reliably inside real-world applications.

AI Agent Development is a practical, engineering-focused guide for developers and technical professionals who want to design and deploy production-grade AI agents—not demos or experiments.

This book treats AI agents as software systems, emphasizing architecture, control, safety, and long-term maintainability. It goes beyond prompt engineering to show how agents are structured, integrated, monitored, and governed in modern software environments.

What You’ll Learn

• What AI agents are and how they differ from chatbots and workflows

• How large language models function as reasoning engines

• Core agent components: prompts, memory, tools, planning, and control

• Proven architecture patterns for reliable agent behavior

• How to build real agents, including automation, research, coding, and multi-agent systems

• When to use agent frameworks—and when not to

• Deployment, scaling, cost control, monitoring, and logging

• Safety, guardrails, ethics, and responsible agent design

• Advanced orchestration, autonomous workflows, and future trends

Who This Book Is For

• Software engineers and developers

• Systems and platform engineers

• AI practitioners and technical leads

• Architects integrating AI into existing systems

A basic programming background is recommended. No advanced machine learning experience is required.

Why This Book Is Different

Most AI books focus on models or prompt tricks. This book focuses on engineering discipline—how to build AI agents that are controlled, observable, auditable, and safe to run in production.

If you want to move from experimentation to real-world AI agent systems, this book provides the structure, patterns, and practical guidance to do it right.