Engineering with Intelligence: How Generative AI and LLMs Are Shaping the Next Era of Software Systems
Published 2024-05-15
Keywords
- Generative AI,
- Large Language Models,
- Software Engineering,
- Intelligent Systems,
- AI-Augmented Development
How to Cite
Copyright (c) 2024 Spectrum of Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
The software engineering landscape is undergoing a transformative shift, fueled by the integration of Generative Artificial Intelligence (AI) and Large Language Models (LLMs). These technologies are not only augmenting human productivity but are redefining the foundations of how software is designed, developed, and deployed. This paper explores the evolving relationship between intelligent models and software systems, highlighting the emergence of new engineering paradigms centered around co-creation, context-aware automation, intelligent orchestration, and human-AI collaboration. From AI-assisted coding and automated documentation to adaptive systems and self-evolving architectures, we examine how generative models are reconfiguring core software practices. We also address the engineering challenges around performance, interpretability, safety, and scalability. By analyzing current patterns and projecting forward, the paper outlines a framework for building intelligent, adaptive, and future-ready systems with LLMs at the core.
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