
TL;DR
This paper proposes vibe-driven model-based engineering, integrating Large Language Models with traditional modeling to enhance software development for complex systems.
Contribution
It introduces a novel approach combining AI and MDE, outlining key concepts, opportunities, and challenges for future software engineering.
Findings
Vibe-driven MBE integrates LLMs with traditional models.
It offers new development paths for different scenarios.
Highlights open challenges and future opportunities.
Abstract
There is a pressing need for better development methods and tools to keep up with the growing demand and increasing complexity of new software systems. New types of user interfaces, the need for intelligent components, sustainability concerns, etc. bring new challenges that we need to handle. In the last years, model-driven engineering (MDE), including its latest incarnation, i.e. low/no-code development, has been key to improving the quality and productivity of software development, but models themselves are becoming increasingly complex to specify and manage. At the same time, we are witnessing the growing popularity of vibe coding approaches that rely on Large Language Models (LLMs) to transform natural language descriptions into running code at the expense of potential code vulnerabilities, scalability issues and maintainability concerns. While many may think vibe coding will…
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