1. The Pragmatic Programmer: Your Journey to Mastery (20th Anniversary Edition) by Andrew Hunt & David Thomas
Overview: This updated edition of the classic work offers timeless advice on software craftsmanship, emphasizing adaptability, problem-solving, and continuous learning. It introduces new material reflecting recent technological advancements and industry practices.
2.Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann
Overview: This book delves into the architecture of data systems, covering topics like scalability, consistency, and fault tolerance. It provides a deep understanding of how to design systems that handle large volumes of data effectively.
3.System Design Interview: An Insider's Guide (Parts 1 & 2) by Alex Xu
Overview: These volumes offer a comprehensive guide to system design interviews, providing frameworks, real-world examples, and step-by-step solutions to complex design problems.
4.AI Software Engineer: Programming with Trust by Abhik Roychoudhury, Corina Pasareanu, Michael Pradel, Baishakhi Ray
Overview: This book explores the integration of large language models (LLMs) into software engineering workflows, emphasizing the importance of trust and verification in AI-generated code. It discusses the role of AI agents in enhancing software development processes
5.Generative AI and Empirical Software Engineering: A Paradigm Shift by Christoph Treude & Margaret-Anne Storey
Overview: This work examines how generative AI is transforming empirical software engineering practices. It discusses the implications of AI on research methodologies, data analysis, and the roles of developers and researchers in the software engineering ecosystem.