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This API generates consolidated text files from websites specifically for LLM training and inference. The service is powered by Firecrawl but will be deprecated after June 30, 2025 in favor of main endpoints. (此API可从网站生成整合文本文件，专为LLM训练和推理设计。该服务由Firecrawl提供支持，但将于2025年6月30日后弃用，建议使用主要端点替代。)

A curated directory showcasing companies and products adopting the llms.txt standard across various sectors like AI, finance, developer tools, and websites, with token counts indicating implementation scale. (中文摘要翻译：一份精选目录，展示在AI、金融、开发者工具和网站等多个领域采用llms.txt标准的企业与产品，token数量反映了实施规模。)

Vibecoding is an emerging AI-driven programming paradigm that shifts focus from syntax to intent expression, enabling developers to generate code through natural language interaction with LLMs. This approach transforms developers from code writers to product thinkers and AI collaborators, significantly lowering programming barriers and accelerating development cycles while introducing new challenges in code quality and security. (Vibecoding是一种以AI为核心的新兴编程范式，将编程重点从语法细节转向意图表达，开发者通过自然语言与大型语言模型交互生成代码。这种模式将开发者角色从代码编写者转变为产品思维引导者和AI协作者，大幅降低编程门槛并加速开发周期，同时带来代码质量和安全方面的新挑战。)

Vibe Coding represents a fundamental shift in software development where developers focus on intent and user experience rather than syntax, using AI tools to generate and iterate code through natural language prompts. (Vibe Coding代表了软件开发的根本性转变，开发者专注于意图和用户体验而非语法，通过自然语言提示使用AI工具生成和迭代代码。)

Vibecoding is a revolutionary programming paradigm that shifts focus from implementation details to desired outcomes, leveraging AI to generate and refine code based on iterative feedback. This approach enables developers to immerse themselves in a 'prompt-result-adjust' loop, dramatically boosting productivity and lowering barriers to entry. (Vibecoding是一种革命性的编程范式，将关注点从实现细节转向预期结果，利用AI根据迭代反馈生成和优化代码。这种方法让开发者沉浸在“提示-结果-调整”的循环中，显著提升生产力并降低入门门槛。)

English Summary: This article traces the evolution of AI programming from Andrej Karpathy's initial Vibe Coding concept to the more systematic Context Coding methodology that emerged in 2025. It analyzes the tool ecosystem, compares three programming paradigms, and provides practical implementation strategies while forecasting 2026 trends including Agentic AI and standardized MCP protocols. (中文摘要翻译：本文追溯了从Andrej Karpathy提出的Vibe Coding概念到2025年形成的更系统化的Context Coding方法论的演进历程。分析了工具生态系统，对比了三种编程模式，提供了实践建议，并展望了2026年包括Agentic AI和标准化MCP协议在内的技术趋势。)

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Vibecoding is an emerging AI-driven programming paradigm that enables developers to describe requirements in natural language while AI generates code, focusing on rapid MVP development and modern tech stacks like Next.js and TypeScript. (Vibecoding是一种新兴的AI驱动编程范式，允许开发者用自然语言描述需求，由AI生成代码，专注于快速MVP开发和现代技术栈如Next.js和TypeScript的应用。)

Gas Town代理模式是一种在AI系统中实现智能代理协作的架构模式，通过分层代理机制和消息传递协议，实现复杂任务的分布式处理与协同决策。 Gas Town代理模式是一种在人工智能系统中实现智能代理协作的架构设计模式，通过分层代理结构和消息传递机制，支持复杂任务的分布式处理与协同决策。