Chapter 1: The AI-Native Revolution

The landscape of software development is undergoing a profound transformation, moving beyond traditional application paradigms to embrace a new era defined by artificial intelligence. This shift marks the rise of AI-Native development, a philosophy and methodology where AI is not merely an add-on feature but the foundational core of an application's design, architecture, and functionality.

Chapter 2: Core Principles of AI-Native

The successful implementation and sustained evolution of AI-Native applications hinge on adherence to a set of core principles. These principles guide design decisions, architectural choices, and operational strategies, ensuring that AI is not just integrated, but truly foundational and effective.

Chapter 3: AI Models for Human-Centric Design

AI-Native applications excel when they are designed with the human user at their core. This chapter explores various AI models and techniques specifically tailored to create applications that prioritize human interaction, enhance user experience, and foster well-being.

Chapter 4: Building an AI-Native Application

Building an AI-Native application requires a strategic approach that integrates AI models and data pipelines as fundamental components of the software architecture. This chapter provides a practical guide, covering key architectural considerations, optimized development workflows, and essential tools and technologies for bringing AI-Native solutions to life.