A full-stack system automatic generation method, device, equipment and medium

CN122331876APending Publication Date: 2026-07-03BEIJING QIANTU FANGYUAN SOFTWARE TECH
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Patent Information

Application Number
CN202610391755.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-27
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

When building enterprise-level systems, existing technologies often involve organizing code units around independent functional points, making it difficult to express the relationships between multiple business entities in the system. This leads to an increase in the need for manual translation between different stages of the system construction process, affecting the overall smoothness from requirements to final system delivery.

Method used

By constructing a domain ontology, generating business workflows and generating executable operator code for each operator node, containerizing and deploying the code, and combining it with automated testing, front-end design description files are generated, thus achieving automated delivery of the full-stack system.

Benefits of technology

It achieves end-to-end automated delivery from user requirements to a working system, significantly improving software delivery efficiency, shortening system construction cycle, eliminating manual translation, and ensuring semantic consistency and efficient deployment between systems.

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Abstract

A method, apparatus, device, and medium for automatically generating a full-stack system are disclosed, relating to the field of artificial intelligence. The method includes: in response to an acquired natural language requirement, constructing a domain ontology; generating a business workflow based on various business entities; generating corresponding executable operator code for each operator node based on the entity attributes of the business entities associated with the operator nodes; containerizing and deploying the executable operator code; and obtaining the call address corresponding to the business workflow; obtaining a backend system matching the natural language requirement based on the deployed executable operator code and the call address; generating a frontend design description file based on the domain ontology, business workflow, and call address; constructing and deploying a frontend application based on the frontend design description file; and obtaining a full-stack business system based on the backend system and the frontend application. This application can improve the delivery efficiency of a full-stack business system.
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