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Vibe Coding, Interface Flattening

arXiv 2512.24939 ↗First posted 31 Dec 2025cs.HC cs.CLcited by 0

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Abstract (arXiv)

Large language models are reshaping programming by enabling 'vibe coding': the development of softwares through natural-language interaction with model-driven toolchains. This article argues that vibe coding is best understood as interface flattening, a reconfiguration in which previously distinct modalities (GUI, CLI, and API) appear to converge into a single conversational surface, even as the underlying chain of translation from intention to machinic effect lengthens and thickens. Drawing on Friedrich Kittler's materialist media theory and Alexander Galloway's account of interfaces as sites of protocol control, the paper situates programming as a historically localised interface arrangement rather than an essential relation to computation. Through a materialist reconstruction of the contemporary vibe-coding stack, it shows how remote compute infrastructures, latency and connectivity, structured outputs, function/tool calling, and interoperability standards such as the Model Context Protocol relocate control and meaning-making power to model and protocol providers. The apparent democratisation of technical capability therefore depends on new dependencies and new literacies. By foregrounding the tension between experiential flattening and infrastructural thickening, I demonstrate how LLM-mediated development redistributes symbolic labour/power, obscures responsibility, and privatises competencies previously dispersed across programming communities, contributing a critical lens on the political economy of AI-mediated human-computer interaction.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 17 references that are in the map. First posted on arXiv 31 Dec 2025.

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2 of 17 references.

References · 2

  1. 2025Vibe coding: programming through conversation with artificial intelligencecited by 26
  2. 2020Convo: What does conversational programming need? An exploration of machine learning interface designcited by 4

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  1. 2026Context Before Code: An Experience Report on Vibe Coding in Practice
  2. 2025Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
  3. 2025Vibe Coding: Toward an AI-Native Paradigm for Semantic and Intent-Driven Programming ↗
  4. 2025A Survey of Vibe Coding with Large Language Models
  5. 2026A Visionary Look at Vibe Researching
  6. 2026Vibe Coding: An Experiment with Test-Driven Development
  7. 2026Enabling Creative Exploration for Vibe Design Agents
  8. 2025Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification