Synergizing LLMs, Vibes, and Well-Being in Software Development

Abstract

There is a growing trend of using general-purpose large language models (LLMs), such as ChatGPT, in software development workflows, often outside traditional IDEs or engineering practices. One emerging phenomenon is vibe coding, which refers to a fluid, intuitive, and emotionally attuned development style shaped by conversational AI tools, music, mood, and ambient factors. I propose research that investigates why software practitioners are drawn to general-purpose LLMs and how these tools fit into and enhance vibe coding experiences. In particular, I aim to understand how these environments affect productivity and well-being, especially for software practitioners with mental health conditions (e.g., ADHD, anxiety, depression). By examining both the technical and psychological aspects of general-purpose LLM use, including but not limited to vibe coding, I intend to facilitate the development of improved tools, settings, and practices that promote a more balanced and adaptable approach to LLM-driven software development.

Ähnliche Arbeiten