让 AI 干活反而累成狗？Vibe Coding 正在掏空我的大脑

Core Insights - The article discusses the emergence of "Vibe Coding," a new programming paradigm that allows developers to generate code rapidly through AI tools, shifting the focus from traditional coding practices to a more intuitive, director-like approach [3][5]. Group 1: Vibe Coding Overview - Vibe Coding has become a buzzword in 2025, defined by Andrej Karpathy as a method where programming no longer requires line-by-line coding but instead involves directing AI tools like Claude or Cursor [3]. - This approach allows for the rapid generation of code, likened to a waterfall effect, where the right "vibe" leads to the effortless production of extensive code [5]. Group 2: Cognitive Load and Fatigue - Experienced developers, such as Stephan Schmidt, report a new type of fatigue associated with Vibe Coding, characterized by a feeling of mental exhaustion rather than physical strain [6]. - The traditional coding process allowed for a slower pace, giving developers time to process information and build mental models, which is disrupted by the fast-paced nature of Vibe Coding [10]. - The rapid coding cycle in Vibe Coding leads to cognitive overload, as developers must constantly switch contexts and understand multiple code modules simultaneously, resulting in confusion and mental fatigue [12][14]. Group 3: Implications for Developers - Developers are now required to act as overseers of AI-generated code, needing to monitor and ensure the quality of outputs, which adds to their cognitive burden [12][15]. - The pressure of making quick decisions and managing multiple tasks simultaneously creates a phenomenon termed "implicit fatigue," where the brain is continuously engaged without physical activity [14]. - The article suggests that while tools are meant to enhance human creativity, they can also lead to anxiety and a loss of rhythm in the development process [17]. Group 4: Recommendations for Managing Vibe Coding - Developers are encouraged to consciously control their pace and not be rushed by AI's speed, taking time to understand AI-generated outputs [18]. - Manual reviews of AI-generated content are recommended to help rebuild mental models and achieve cognitive alignment with AI [18]. - Setting clear directions and allowing AI to generate code without micromanagement can help avoid rework and improve efficiency [18].