启动 HN：Modelence（YC S25）– 使用 TypeScript / MongoDB 框架的应用程序构建工具
大家好，我们是Aram和Eduard，Modelence的联合创始人（<a href="https://modelence.com">https://modelence.com</a>）。在花费多年时间扩展我们之前创业公司的平台后，我们构建了一个开源的全栈TypeScript + MongoDB框架，以避免每次创建应用时都要解决相同的身份验证、数据库、API和定时任务的实现问题，同时我们也不喜欢为每个应用使用多个托管平台的想法。
（这里是我们之前的Show HN帖子供参考：<a href="https://news.ycombinator.com/item?id=44902227">https://news.ycombinator.com/item?id=44902227</a>）
与此同时，我们对整个AI应用构建者的热潮感到兴奋，并意识到真正的挑战在于平台本身，而不是工具。现在，我们正在将Modelence打造成第一个为编码代理和人类共同打造的全栈框架：
- TypeScript非常适合AI编码，因为它提供了保护机制，并在构建时捕捉许多错误，从而使代理能够自动纠正。
- MongoDB消除了代理的模式管理问题，这是它们最常失败的地方（并且与TS/Node.js配合良好）。
- 内置的身份验证、数据库、定时任务等功能开箱即用，意味着代理只需专注于您的产品逻辑，而不必在设置这些功能时失败（并且减少了在样板代码上花费的令牌）。
您现在可以通过在我们的登录页面（<a href="https://modelence.com">https://modelence.com</a>）上输入提示来尝试Modelence应用构建器（基于Claude Agent SDK）——在这里观看演示视频：<a href="https://youtu.be/BPsYvj_nGuE" rel="nofollow">https://youtu.be/BPsYvj_nGuE</a>。
然后，您可以在本地查看并继续在自己的IDE中工作，同时仍然使用Modelence Cloud作为后端，享受开发云环境，随后在Modelence Cloud上部署和运行，所有操作都具备内置的可观察性。
我们还将添加一个内置的DevOps代理，它将驻留在同一云中，了解框架的端到端，并利用所有这些可观察性数据来处理错误、警报和事件——闭环，因为在生产环境中运行比仅仅构建要困难得多。
我们推出应用构建器作为开发者的快速入门，旨在展示框架和Modelence Cloud，而不必手动阅读文档并按照步骤设置新应用。我们的主要关注点仍然是平台本身，因为我们相信AI编码的真正挑战在于框架和平台，而不是构建工具本身。
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Hi all, Aram and Eduard here - co-founders of Modelence (<a href="https://modelence.com">https://modelence.com</a>). After spending years on scaling our previous startup’s platform, we built an open-source full-stack TypeScript + MongoDB framework to stop solving the same auth / database / API / cron job implementations every time we created an app, and we didn’t like the idea of using multiple managed platforms for each of these to run our apps either.<p>(Here’s our prior Show HN post for reference: <a href="https://news.ycombinator.com/item?id=44902227">https://news.ycombinator.com/item?id=44902227</a>)<p>At the same time, we were excited by the whole AI app builder boom and realized that the real challenge there is the platform rather than the tool itself. Now we’re making Modelence the first full-stack framework that’s built for coding agents and humans alike:<p>- TypeScript is already great for AI coding because it provides guardrails and catches many errors at build time, so agents can auto-correct<p>- MongoDB eliminates the schema management problem for agents, which is where they fail the most often otherwise (+ works great with TS/Node.js)<p>- Built-in auth, database, cron jobs and else that just works together out of the box means agents only focus on your product logic and don’t fail at trying to set these things up (+ less tokens spent on boilerplate).<p>You can now try the Modelence app builder (based on Claude Agent SDK) by just typing a prompt on our landing page ( <a href="https://modelence.com">https://modelence.com</a> ) - watch a demo video here: <a href="https://youtu.be/BPsYvj_nGuE" rel="nofollow">https://youtu.be/BPsYvj_nGuE</a><p>Then you can check it out locally and continue working in your own IDE, while still using Modelence Cloud as your backend, with a dev cloud environment, and later deploy and run on Modelence Cloud with built-in observability around every operation running in your app.<p>We’re also going to add a built-in DevOps agent that lives in the same cloud, knows the framework end-to-end, and will use all this observability data to act on errors, alerts, and incidents - closing the loop, because running in production is much harder than just building.<p>We launched the app builder as a quick start for developers, to demonstrate the framework and Modelence Cloud without having to manually read docs and follow the steps to set up a new app. Our main focus is still the platform itself, since we believe the real challenge in AI coding is the framework and the platform rather than the builder tool itself.