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GMP标准如何赋能AI驱动的3D地图网站：提升数据准确性与可靠性的新范式

GMP标准如何赋能AI驱动的3D地图网站：提升数据准确性与可靠性的新范式

This article explores the integration of Good Manufacturing Practice (GMP) standards into AI systems for 3D mapping websites, focusing on how pharmaceutical quality management principles can enhance data accuracy and reliability in digital mapping applications. (本文探讨了将药品生产质量管理规范（GMP）标准集成到3D地图网站的AI系统中，重点关注药品质量管理原则如何提升数字地图应用中的数据准确性和可靠性。)
GEO技术2026/1/24
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Vibe Coding：AI驱动编程新范式，从写代码到引导AI的变革

Vibe Coding：AI驱动编程新范式，从写代码到引导AI的变革

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。)
AI大模型2026/1/24
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Vibe Coding 2026指南：从语法到意图的开发新范式

Vibe Coding 2026指南：从语法到意图的开发新范式

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。)
AI大模型2026/1/24
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Vibe Coding编程指南：以结果为导向的2024开发范式革命

Vibe Coding编程指南：以结果为导向的2024开发范式革命

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。)
AI大模型2026/1/24
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从Vibe Coding到Context Coding：2025年AI编程范式的演进与未来趋势

从Vibe Coding到Context Coding：2025年AI编程范式的演进与未来趋势

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。)
AI大模型2026/1/24
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