Automated Implementation Scheme for Low-Code Development Based on Large Language Models

This paper presents an implementation scheme that integrates low-code platforms with artificial intelligence (AI) technology to enhance the development process. By leveraging AI for automatic code generation, intelligent component recommendations, and error detection/repair, the efficiency of low-code development is significantly improved. The combination of natural language requirements and visual drag-and-drop operations lowers the technical barrier. A new model for evaluating efficiency improvement is introduced and validated using actual business data, demonstrating the feasibility and effectiveness of this integration.