东南亚AI编程竞争从选模型转向建基础设施
Why Southeast Asia’s AI coding race is moving from models to infrastructure
东南亚开发圈的实用观察：大家卷完GPT-4对比Claude之后，现在拼的是谁的基础设施搭得好。
过去三年，东南亚工程团队主要在比较GPT-4、Claude、Codex、Cursor和开源权重模型在代码补全、文档生成、调试和速度上的表现。文章指出，这一阶段正在过去，创业公司的关注点从选哪个模型转向构建支撑AI开发的底层基础设施。作者认为竞争重心已不再是单一模型的优劣对比。
Why Southeast Asia’s AI coding race is moving from models to infrastructure
For the past three years, much of the AI debate inside Southeast Asia’s engineering teams has centred on a familiar question: which model is best? Founders, CTOs and developers compared GPT-4, Claude, Codex, Cursor and open-weight models on code completion, documentation, debugging and speed. For many startups, the first wave of AI developer adoption meant […] The post Why Southeast Asia’s AI coding race is moving from models to infrastructure appeared first on e27 .
