Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agenda

2025-07-29

AI Summary

The rise of AI-generated code has catalyzed “vibe coding”—an emergent programming paradigm whose rapid adoption outpaces theoretical understanding, necessitating clarification of its impact on the *intent mediation mechanism*: the process by which developers’ conceptual goals are translated into executable code. Method: We propose a formal theoretical definition of vibe coding, reframing intent mediation from deterministic instruction-following to probabilistic natural language inference and reconfiguring human–AI cognitive division of labor. Using conceptual modeling and systematic literature review—integrated with intent-oriented and techno-historical analysis—we characterize the cognitive paradigm shift in human–AI collaborative coding. Contribution: We identify three key opportunities (democratization of development, productivity leap, system-level leverage) and three critical risks (black-box opacity, accountability ambiguity, ecosystem bias), and formulate an interdisciplinary research agenda spanning humanistic, technical, and organizational dimensions—establishing a foundational theoretical framework for software engineering in the generative AI era.

Technology Category

• Natural Language Processing: Code Generation / Program Synthesis from Natural Language
• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding

Application Category

• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

Software development is undergoing a fundamental transformation as vibe coding becomes widespread, with large portions of contemporary codebases now being AI-generated. The disconnect between rapid adoption and limited conceptual understanding highlights the need for an inquiry into this emerging paradigm. Drawing on an intent perspective and historical analysis, we define vibe coding as a software development paradigm where humans and generative AI engage in collaborative flow to co-create software artifacts through natural language dialogue, shifting the mediation of developer intent from deterministic instruction to probabilistic inference. By intent mediation, we refer to the fundamental process through which developers translate their conceptual goals into representations that computational systems can execute. Our results show that vibe coding reconfigures cognitive work by redistributing epistemic labor between humans and machines, shifting the expertise in the software development process away from traditional areas such as design or technical implementation toward collaborative orchestration. We identify key opportunities, including democratization, acceleration, and systemic leverage, alongside risks, such as black box codebases, responsibility gaps, and ecosystem bias. We conclude with a research agenda spanning human-, technology-, and organization-centered directions to guide future investigations of this paradigm.

Problem

• Understanding the emerging paradigm of AI-human collaborative vibe coding
• Exploring the reconfiguration of intent mediation in software development
• Investigating risks and opportunities of AI-generated codebases

Innovation

• Collaborative flow between humans and AI
• Intent mediation via natural language dialogue
• Redistribution of epistemic labor in coding