Generative Software Architecture

"Generative Software Architecture" is a comprehensive textbook and practical guide designed for the new frontier of software engineering, where artificial intelligence plays a pivotal role in high-level system design. It systematically explores how AI can analyze requirements, propose architectural solutions, and generate the essential artifacts needed to build robust, scalable, and modern software systems.


Philosophy

The core philosophy of this book is that the future of software architecture is a collaborative one. It posits that the role of the human architect is evolving from a sole creator to a strategic guide who steers powerful AI tools. The architect’s deep domain knowledge and intuition are combined with the AI's ability to rapidly process vast amounts of data, analyze trade-offs, and explore a wide design space. Our approach is to demystify this process, treating Generative AI not as a "black box" but as a transparent and powerful partner in design.


Key Features

1. Comprehensive Coverage: From the history and evolution of GSA to a fully functional capstone project, the book covers the entire lifecycle.
2. Practical Focus: Strong emphasis on implementation, applications, and hands-on examples to bridge the gap between theory and practice.
3. Capstone Project: A dedicated final chapter walks the reader step-by-step through a complete DIY project, including all code and explanations.
4. Non-Functional Requirements (NFRs): Special attention is given to the critical process of modeling NFRs like performance, security, and scalability for AI-driven design.
5. Beginner to Advanced: The content is structured to be accessible for beginners while providing the depth and advanced topics necessary for postgraduate students and professionals.


To Whom This Book Is For

1. Undergraduate (B.Tech/B.E.) students in Computer Science and Information Technology.
2. Postgraduate (M.Tech/M.S.) students specializing in Software Engineering, AI, or System Design.
3. Software Developers and Engineers who want to transition into software architecture roles.
4. Practicing Software Architects seeking to integrate AI tools and generative techniques into their workflow.
5. Academics and Researchers exploring the intersection of artificial intelligence and software engineering.