包阅导读总结
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AWS App Studio、Generative AI、Application Development、Enterprise-Grade、Preview
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AWS 在美国西部（俄勒冈）AWS 区域推出预览版的生成式人工智能服务 AWS App Studio，旨在让无软件开发技能的技术专业人员能用自然语言创建企业级应用，其能自动生成多页面 UI 等，用户无需关心底层代码，处理部署、运营和维护。但有人认为其能否与竞争产品相比仍有待观察。
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– AWS 推出预览版生成式人工智能服务 AWS App Studio
– 目标用户为无软件开发技能的技术专业人员
– 利用自然语言创建企业级应用
– 服务特点
– 加速应用创建过程
– 生成应用大纲、多页面 UI、数据模型和业务逻辑
– 连接多种数据源
– 优势
– 用户无需关注底层代码
– 处理部署、运营和维护
– 竞争情况
– 如微软有类似产品 Power Automate
– 有人对 AWS App Studio 与竞品的竞争能力存疑
思维导图：
文章来源：infoq.com
作者：Steef-Jan Wiggers
发布时间：2024/7/30 0:00
语言：英文
总字数：478字
预计阅读时间：2分钟
评分：82分
标签：AWS 应用工作室,生成式人工智能,应用程序开发,低代码平台,人工智能开发工具
以下为原文内容
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AWS App Studio, a new generative artificial intelligence (AI)-powered service designed to enable technical professionals without software development skills to create enterprise-grade applications using natural language, has been launched in preview by AWS in the US West (Oregon) AWS region.
With App Studio, the company aims to revolutionize application development by empowering IT project managers, data engineers, and enterprise architects to build business applications quickly without needing operational expertise.
The service leverages generative AI to accelerate the application creation process. Users can describe the application they want. App Studio will generate an outline, build a multi-page UI, a data model, and business logic, and connect the application to various data sources using built-in connectors for AWS and Salesforce and API connectors for third-party services.
Create App with AWS App Studio (Source: AWS News Blog)
The company states that one critical feature of App Studio is that users do not need to concern themselves with the underlying code, as the service handles deployment, operations, and maintenance. Donnie Prakoso, a principal developer advocate at AWS, wrote:
I discovered that App Studio is useful for various technical professionals. IT project managers, data engineers, and enterprise architects can use it to create and manage secure business applications in minutes instead of day.
While a respondent on a Hacker News thread states:
This seems incredible for proof-of-concept prototyping to quickly validate ideas. If one of these is a good idea, using it as a reference while building the production-grade implementation shouldn’t be too expensive in terms of user hours.
For example, one of AWS’s competitors, Microsoft, has a low code offering with Power Automate with GenAI features. It has introduced AI Builder GPT Prompts, which allow users to add Generative AI capabilities to their apps and workflows. Users can leverage GPT Prompts for content processing, e-mail classification, summarization, data transformation, and more. Also, Power Automate has a connector that allows users to connect to various data sources using connectors for Azure and various other third-party services – yet it’s not intended for building apps.
In addition, Power Automate has introduced AI flows, a new way to automate processes using generative AI to analyze unstructured content and determine steps based on the user’s natural language instructions and parameters.
Corey Quinn wrote in a blog post called Amazon GenAI Services:
But as soon as you start moving up the stack into GenAI applications and GenAI assistants, Amazon’s leadership position evaporates as they begin trailing significantly behind their competition. It’s very hard to contend with a straight face that Amazon Q Developer can outcompete GitHub Copilot. While the just-launched low-code internal app builder App Studio seems promising, it remains to see if it can even outcompete the now-deprecated Amazon Honeycode, let alone something like my own beloved Retool for quickly throwing together inward-facing applications.
More details of AWS App Studio are available on the documentation pages.
