技术框架不重要，大厂简历不值钱？小哥不会写代码却进了Lovable，80% 靠聊天也能上生产

Core Viewpoint - The article discusses the emergence of the role of "Vibe Coder" at Lovable, an AI-driven website and application building platform, highlighting the shift from traditional coding to a more conversational approach with AI tools [2][10]. Group 1: Company Overview - Lovable is valued at $6.6 billion (approximately 45.7 billion RMB) and has 8 million users with 517 employees as of the end of 2025, indicating a high per-employee valuation nearing 100 million RMB [2]. - The company has achieved significant growth, doubling its Annual Recurring Revenue (ARR) from $100 million to $200 million within four months [4]. Group 2: Role of Vibe Coder - The first official Vibe Coder at Lovable, Lazar Jovanovic, spends 80% of his time on planning and dialogue, with only 20% on execution, emphasizing the importance of clear communication over traditional coding skills [11][28]. - The role of Vibe Coder is a natural evolution in the AI landscape, where the focus has shifted from coding to articulating product requirements effectively [10]. Group 3: Vibe Coding Process - Jovanovic employs a unique approach by running multiple versions of ideas in parallel, using various methods such as voice brainstorming and reference images to clarify requirements before executing [12][42]. - He emphasizes the importance of creating a structured workflow, including generating Product Requirement Documents (PRDs) and maintaining clear guidelines for AI tools to follow [48][51]. Group 4: Skills and Mindset - A non-technical background can be advantageous in this new role, as it allows for a more open-minded approach to problem-solving without preconceived limitations [25]. - The article stresses the need for clarity in communication with AI tools, as the quality of output heavily relies on the specificity of input provided [32][40]. Group 5: Future of Work - The traditional job titles such as programmer, product manager, and designer are becoming less relevant as roles evolve into a combination of skills, focusing on the ability to create value through AI collaboration [68][70]. - The future workforce will likely be defined by a blend of capabilities rather than single labels, with an emphasis on judgment and aesthetic sensibility over technical skills [69][71].