The topic of AIGC (AI-generated Content) and its application is showing an explosive growth trend. With the continuous penetration and integration of industry and technology, 36 KR Institute has observed that in addition to the continuous enhancement of the quality, efficiency, and practicality of content production, the breadth of AIGC’s radiation is also continuing to extend. Among them, the breakthrough of key technologies and basic theories will become an important factor in the implementation of AIGC industrial ecology.

“Based on AGI (Artificial general intelligence) large language model, through natural language understanding of the application to be developed, the inference result is converted into an application model structure that conforms to the aPaaS platform, and then shows the same effect as the artificial application.” Specifically to the landing side, Liu Jinzhu, CEO of Yanhuang Yinggong, explained to 36KR the company’s accumulation and precipitation in MDA (Model Driven Architecture) technology for nearly 20 years and the exploration of AI application scenarios for many years, and finally found a crossing breakthrough point in the combination of MDA and AIGC. It provides basic conditions and experience support for the landing of low code platforms to support AI generation applications.

AI generation application is the core capability of the next generation AI low code platform

Low-code development platform refers to the tool that does not need to code or quickly generate application programs through a small amount of code. On the one hand, it can reduce the labor cost of enterprise application development, on the other hand, shorten the development cycle exponentially, and help enterprises reduce costs and increase efficiency and flexibly iterate.

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According to Forrester analyst Lu Guannan, the scenarios currently explored by Generative AI (also known as AIGC) technology cover text generation, image generation, video generation, and code generation. Previously, the domestic has not seen the case of commercial applications directly generated by generative artificial intelligence in the production environment. Gartner has pointed out in a research report: the global low-code development platform can be divided into head SaaS enterprises and general platform enterprises. In the early stage, the path to the integration of AI and low-code development platforms is that the head SaaS enterprise realizes the connectivity of AI technology and tool software through the integration of generative AI, so as to help users reduce repetitive, mechanical, rule-oriented labor, and even undertake creative work; Now, as a general platform enterprise, Yanhuang Yingying has implemented the second path of integration of AI and low code development platform through model-driven architecture technology, combined with general artificial intelligence and generative AI.

AI generation applications can assist ordinary people or product managers to directly generate the application system they want. Based on the entered application name, the AI generates a result; On the other hand, supplemental requirements can also be entered to emphasize the AI’s understanding of the generation requirements. It is not difficult to find that the field of low code is ushering in a revolutionary breakthrough: from passive acceptance to inspired creation, AI generation applications are the core capabilities of the next generation of AI low code platforms.

In the test stage, based on the AIGC mode, when the user enters the desired application name (such as invoicing), the platform deduces the content related to invoicing through the AI products trusted by the user, and automatically assemits a complete application. When the application generated by AIGC is not satisfied, the application can be automatically assembled into a complete application. You can also use drag and drop to meet the user’s individual needs and continue to iterate