The application discloses a
natural language and meta-model driven
code generation system, which comprises an AI layer containing multiple intelligent agents working cooperatively, the AI layer being configured to receive
natural language instructions and perform
intent recognition, entity extraction, context analysis and constraint
verification through the intelligent agents to generate structured
metadata; a meta-
model engine configured to construct and instantiate one or more meta-model objects according to the structured
metadata generated by the AI layer; and a code template engine configured to match one or more corresponding code templates from a code
template library according to the content and type of the meta-model objects, and generate
executable code or configuration files in one or more target languages through rendering. According to the scheme,
natural language is converted into a meta-model decoupled from technology through AI, and high-quality standardized code is automatically generated through a template engine, thereby improving development efficiency and enabling developers to focus on core business innovation.