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Save 80% of system construction costs and achieve equivalent construction effects of hundreds of thousands.

Intelligent agent orchestration

AI can automatically create and optimize workflows by learning historical data and patterns of business processes. This eliminates the need for users to manually configure complex business processes, such as AI analyzing a company's procurement process and automatically creating approval processes, saving a lot of configuration time and effort. This intelligent process design not only improves efficiency, but also automatically identifies and optimizes process bottlenecks, enhancing business flexibility.

Import or input original requirements

AI makes automated testing more intelligent. Through machine learning, AI can automatically generate test cases based on the functionality and historical issues of the application, simulate multiple scenarios to ensure the stability and reliability of the application. AI can also automatically adjust and repair code based on test results, reducing manual intervention and ensuring high-quality delivery.

Intelligent review and modification of requirements

AI enables users to interact with low code platforms using natural language processing (NLP) technology. Users only need to describe their needs in everyday language, and AI can convert them into technical instructions or code. For example, users can say 'create a monthly automatic report sending feature', and AI will immediately generate the corresponding code and configuration, reducing the development threshold and allowing non-technical personnel to easily participate in application development.

AI generated metadata modeling

Intelligent generation of metadata modeling through requirement document linking, combined with AI and low code technology, simplifies complex business logic implementation, accelerates application development process, and improves development efficiency and flexibility

AI generates backend code

AI can intelligently generate code or provide development suggestions based on user needs and business scenarios. Users only need to describe their needs, and AI can provide real-time development solutions and even automatically build application frameworks. This intelligent assistance not only reduces coding workload, but also lowers the likelihood of errors occurring.

Generate front-end interface based on metadata modeling

AI provides intelligent data analysis capabilities in low code platforms, monitoring application running data in real-time and providing optimization suggestions. AI can monitor application performance, automatically identify bottlenecks, and propose optimization solutions.

Post release interface

The interface after release is simple and intuitive, supporting drag and drop components and AI assisted design, simplifying the operation process. AI intelligent task allocation and code review enhance team collaboration efficiency and application quality. The automatic testing function ensures stability, personalized customization enhances user experience, and low code features lower technical barriers, allowing non-technical personnel to participate as well.

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