月入9万,已经有大学生用Vibe Coding捞到第一桶金了
36氪·2026-02-11 13:35

Core Viewpoint - The article discusses the rise of "Vibe Coding," a concept that democratizes programming by allowing individuals with little to no coding experience to create applications using AI tools, thus reshaping the landscape of technology and entrepreneurship [4][5]. Group 1: Vibe Coding and Its Impact - Vibe Coding, introduced by Andrej Karpathy, allows users to develop applications without deep coding knowledge, making it accessible to a broader audience, including children and non-technical individuals [4][5]. - The popularity of Vibe Coding has led to a surge in AI programming tools, with companies like Baidu and Tencent reporting significant portions of their code being generated or assisted by AI [11][12]. - The article highlights various success stories of individuals using Vibe Coding, such as a student who earns substantial income by leveraging AI tools for development and sharing accounts on platforms like Xianyu [19][22]. Group 2: Entrepreneurial Opportunities - The rise of Vibe Coding is seen as beneficial for "one-person companies," enabling individuals to start businesses with minimal resources and technical skills [36][39]. - Success stories include a programmer who founded a Vibe Coding company and was later acquired for a significant sum, illustrating the potential for high returns in this new landscape [37]. - However, the article also notes the challenges faced by solo entrepreneurs, such as customer service demands and the need for unique value propositions to stand out in a crowded market [40][39]. Group 3: Demographics and Perspectives - The article features a diverse range of users, from young students to middle-aged professionals, all finding value in Vibe Coding for personal and professional development [32][43]. - It emphasizes that while technical skills are becoming less critical, creativity, business insight, and resource integration remain essential for success in the AI-driven economy [45]. - The fast-paced nature of the AI industry requires continuous learning and adaptation, as many individuals are actively engaged in sharing knowledge and experiences late into the night [46].