Error correcting of programming code generated through integration with generative artificial intelligence

A computing device, comprising:

• a processor;
• and
• a non-transitory computer-readable medium having stored thereon instructions that, when executed by the processor, cause the processor to perform operations including:
• receiving a user-provided prompt, wherein the user-provided prompt is provided in natural language;
• generating an auto-generated prompt based on the user-provided prompt and a first unique prompt template corresponding to a request for generation of programming code by a large language model (LLM);
• providing the auto-generated prompt to the LLM;
• receiving, by a post processing engine, a response to the auto-generated prompt from the LLM that includes the programming code generated by the LLM;
• performing, by the post processing engine, a post processing including:
• (i) constructing an abstract syntax tree (AST) of terms of the programming code generated by the LLM,
• (ii) identifying whether a first term of AST is inconsistent with terms of a schema of the user, and
• (iii) when the first term of the AST is inconsistent with the terms of the schema, performing an error correction process resulting in replacement of a first term in the programming code generated by the LLM with a first replacement term of the schema, wherein the first term of the programming code generated by the LLM corresponds to the first term of AST;
• and
• generating a graphical user interface (GUI) that displays the response to the auto-generated prompt when the terms of the programming code generated by the LLM including any replacement terms are consistent with the terms of the schema.

A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processor to perform operations including:

• receiving a user-provided prompt, wherein the user-provided prompt is provided in natural language;
• generating an auto-generated prompt based on the user-provided prompt and a first unique prompt template corresponding to a request for generation of programming code by a large language model (LLM);
• providing the auto-generated prompt to the LLM;
• receiving, by a post processing engine, a response to the auto-generated prompt from the LLM that includes the programming code generated by the LLM;
• performing, by the post processing engine, a post processing including:
• (i) constructing an abstract syntax tree (AST) of terms of the programming code generated by the LLM,
• (ii) identifying whether a first term of AST is inconsistent with terms of a schema of the user, and
• (iii) when the first term of the AST is inconsistent with the terms of the schema, performing an error correction process resulting in replacement of a first term in the programming code generated by the LLM with a first replacement term of the schema, wherein the first term of the programming code generated by the LLM corresponds to the first term of AST;
• and
• generating a graphical user interface (GUI) that displays the response to the auto-generated prompt when the terms of the programming code generated by the LLM including any replacement terms are consistent with the terms of the schema.