Karpathy氛围编程最新指南！三层AI编程结构：顺境Cursor，逆境Claude，绝境GPT-5 Pro

Core Viewpoint - The article discusses the new Vibe Coding guide released by Karpathy, which introduces a three-layer structure for AI programming that leverages multiple models to enhance coding efficiency and effectiveness [1][3]. Group 1: Three-Layer Structure - The three layers consist of Cursor for auto-completion and minor code modifications, Claude Code/Codex for larger functional blocks, and GPT-5 Pro for solving complex bugs and providing in-depth documentation [4][6]. - This structure is based on Karpathy's practical programming experience, categorizing tools by their usage frequency and task types [5][6]. - The first layer, Cursor, handles about 75% of common tasks through auto-completion [9]. Group 2: Tool Utilization and Limitations - Cursor allows for high-bandwidth communication with large language models by embedding specific code snippets or comments to convey task intentions clearly [11][12]. - Claude Code/Codex is used for implementing larger functions, especially in unfamiliar programming areas, and can generate visual or debugging code quickly [16]. - However, AI-generated code often lacks elegance and may require manual cleanup due to issues like excessive complexity and poor coding style [17][18]. Group 3: Advanced Problem Solving - GPT-5 Pro is utilized for the most challenging problems, effectively identifying bugs after other models fail to do so [20]. - Karpathy emphasizes the importance of community feedback and shared experiences in refining the Vibe Coding concept, which has evolved since its initial introduction [23][22]. Group 4: Community Insights - Users share similar workflows, indicating that small issues are often resolved through AI auto-completion, while larger problems require more oversight and direction [27][29]. - The article highlights the necessity of providing detailed requirements and acceptance criteria to ensure consistency in AI-generated code [31].