Web开发生态中存在一个持久的矛盾：许多开发者倾向于用JavaScript自己构建解决方案，而不是采用浏览器平台的原生功能1。这一现象的根源可以追溯到多个因素。首先，浏览器平台长期落后于生态发展，促使开发者养成了依赖jQuery等第三方库的习惯1。其次，开发者对npm包和框架模式的熟悉程度远高于直接使用平台API，而平台文档在历史上往往分散在多处，不如npm包的README详尽1。
除了技术层面的原因，心理因素同样不可忽视1。许多开发者认为自己动手构建解决方案更具吸引力、学习效果更佳，这种心理状态被称为"IKEA效应"1。有趣的是，许多推崇"使用平台"的倡导者本身曾是polyfill和库的作者1。
关于AI编程对这一趋势的潜在影响，观点存在分歧1。乐观的看法认为，大型语言模型具备全面的平台知识，会倾向于选择最优API1。但悲观的预测指出，LLM容易倾向重复代码，而开发者可能接受首个生成结果，最终导致代码过度工程化1。
Web developers consistently opt to build custom solutions in JavaScript rather than leverage native browser platform capabilities, a trend rooted in historical, technical, and psychological factors 1. The browser platform has long lagged behind its ecosystem, conditioning developers to rely on third-party libraries like jQuery as standard practice 1. Over time, developers have grown more comfortable with npm packages and framework patterns than with direct platform APIs 1.
Documentation fragmentation has also played a role in this preference 1. Where platform APIs were once scattered across multiple resources, npm packages typically feature comprehensive README files, making them more accessible to developers seeking quick reference 1. Beyond practical concerns, many developers find the act of building custom solutions more engaging and educational, a phenomenon akin to the "IKEA effect"—the tendency to value things more highly when personally constructed 1. Notably, many advocates of "using the platform" were themselves former authors of polyfills and libraries, suggesting the movement reflects evolved perspectives within the community 1.
As artificial intelligence enters the development landscape, competing visions emerge about its potential impact. Optimists contend that large language models possess comprehensive platform knowledge and will select optimal APIs 1. Conversely, pessimists worry that LLMs tend toward code repetition, which developers may accept uncritically in early drafts, ultimately perpetuating over-engineered solutions 1.
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