阿里云百炼提速：Agent开发告别代码时代？

Alibaba Cloud Bailian Accelerates: Agent Development Bids Farewell to the Code Era? 🚀

最近，阿里云百炼平台放出大招，推出了号称"零代码"的Agent应用开发功能，这是否意味着大模型应用开发真的要进入"傻瓜模式"了？

Recently, Alibaba Cloud's Bailian platform released a major feature, launching an "zero-code" Agent application development function. Does this mean that the development of large model applications is really entering "foolproof mode"? 🤔

一站式服务：零代码是趋势

百炼这次整合了阿里云函数计算、200多个大模型，以及50多款MCP服务。他们想做的，似乎是把所有环节都打包好，用户只要点点鼠标，就能快速搭建Agent应用。

这里提到的Model Context Protocol (MCP) 协议，可以理解为大模型与各种软件应用之间的"万能适配器"。有了它，大模型就能更容易地连接各种应用，应用范围也更广。现在兼容MCP协议的应用正在快速接入，这无疑给大模型带来了更多可能性。

One-Stop Service: No-Code is the Trend

Bailian's integration this time includes Alibaba Cloud Function Compute, 200+ large models, and 50+ MCP services. What they seem to be aiming for is to package all the links together, so that users can quickly build Agent applications by simply clicking a mouse.

The Model Context Protocol (MCP) mentioned here can be understood as a "universal adapter" between large models and various software applications. With it, large models can more easily connect to various applications, and the application range is also wider. Applications compatible with the MCP protocol are now being rapidly integrated, which undoubtedly brings more possibilities to large models.

旅游美食规划：AI落地，想象空间有多大

阿里云举了个例子，说用户可以在百炼平台上用通义千问大模型和高德MCP服务，快速搞定一个城市旅游美食规划Agent。比如说，你问它"明天去杭州玩，推荐几个好吃的特色菜，规划下路线"，Agent就能根据大模型的理解能力和高德地图的数据，给你个性化推荐，像东坡肉、龙井虾仁什么的，再给你设计一条线路。

这听起来很美好，但实际体验如何，还有待市场检验。

Travel & Food Planning: AI Implementation and the Potential

Alibaba Cloud gave an example of how users can use the Tongyi Qianwen large model and Amap MCP service on the Bailian platform to quickly create a city travel and food planning Agent. For example, if you ask it "I'm going to Hangzhou tomorrow, recommend some delicious local specialties and plan a route," the Agent can give you personalized recommendations based on the large model's understanding ability and Amap data, such as Dongpo Pork and Longjing Shrimp, and then design a route for you.

This sounds promising, but the actual experience remains to be tested by the market.

生态构建：阿里云的下一步棋

阿里云百炼还计划引入更多阿里内部和第三方的应用服务，进一步扩展智能体的应用范围，打造一个智能体应用市场。他们的目标很明确：Agent将成为大模型应用的关键，未来的Agent数量可能会超过现在的APP。

所以，构建一个完善的MCP服务生态对阿里云来说至关重要。通过开放合作，阿里云希望能推动大模型技术在各行各业的应用，加速智能化转型。我们注意到，这不仅仅是技术上的创新，更是生态上的布局。至于效果如何，让我们拭目以待。

Ecosystem Building: Alibaba Cloud's Next Move 🚀

Alibaba Cloud's Bailian also plans to introduce more application services from within Alibaba and third parties, further expanding the application scope of Agents and creating an Agent application marketplace. Their goal is clear: Agents will become key to large model applications, and the number of Agents in the future may exceed the number of current APPs. 💡

Therefore, building a robust MCP service ecosystem is crucial for Alibaba Cloud. Through open cooperation, Alibaba Cloud hopes to promote the application of large model technology in various industries and accelerate intelligent transformation. We noticed that this is not only a technological innovation, but also an ecological layout. As for the effect, let's wait and see. 👀

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