Vibe-driven model-based engineering
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Abstract (arXiv)
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 replace model-based engineering, in this paper we argue that, in fact, the two approaches can complement each other and provide altogether different development paths for different types of software systems, development scenarios, and user profiles. In this sense, we introduce the concept of textitvibe-driven model-based engineering as a novel approach to integrate the best of both worlds (AI and MDE) to accelerate the development of reliable complex systems. We outline the key concepts of this new approach and highlight the opportunities and open challenges it presents for the future of software development.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 21 references that are in the map. First posted on arXiv 12 Apr 2026.
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7 of 21 references.
References · 7
- 2024The Future of AI-Driven Software Engineeringcited by 23
- 2022Towards using Few-Shot Prompt Learning for Automating Model Completioncited by 13
- 2024On the use of Large Language Models in Model-Driven Engineeringcited by 13
- 2024Building BESSER: an open-source low-code platformcited by 7
- 2025Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projectscited by 4
- 2024Low-Modeling of Software Systemscited by 1
- 2025Vibe Modeling: Challenges and Opportunitiescited by 1
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