60%到70%的YC X25代理初创公司正在使用TypeScript。
我最近看到了一条来自Sam Bhagwat（Mastra AI创始人）的推文，提到大约60-70%的YC X25代理公司正在使用TypeScript构建他们的AI代理。这一统计数据让我感到惊讶，因为早期的框架如LangChain最初是以Python为主的。那么，为什么在构建AI代理时会转向TypeScript呢？
以下是我理解的一些可能原因：
- 很多早期项目专注于将工具和API进行整合，这吸引了许多已经在TypeScript生态系统中的前端/全栈开发者。
- TypeScript的静态类型和IDE集成在快速迭代复杂逻辑、链式调用工具或调用大型语言模型时，极大地提高了生产力。
- 此外，正如Sam所指出的，全栈开发者可以快速使用TypeScript同时进行后端和前端开发。
- Vercel的AI SDK在这里也发挥了重要作用。
我很想知道你对此的看法！
查看原文
I recently saw a tweet from Sam Bhagwat (Mastra AI's Founder) which mentions that around 60–70% of YC X25 agent companies are building their AI agents in TypeScript.<p>This stat surprised me because early frameworks like LangChain were originally Python-first. So, why the shift toward TypeScript for building AI agents?<p>Here are a few possible reasons I’ve understood:<p>- Many early projects focused on stitching together tools and APIs. That pulled in a lot of frontend/full-stack devs who were already in the TypeScript ecosystem.<p>- TypeScript’s static types and IDE integration are a huge productivity boost when rapidly iterating on complex logic, chaining tools, or calling LLMs.<p>- Also, as Sam points out, full-stack devs can ship quickly using TS for both backend and frontend.<p>- Vercel's AI SDK also played a big role here.<p>I would love to know your take on this!