Generative ai system for automated programming and accelerated code modification

A method for automatically updating a software application to ensure compliance with an updated data source, the method comprising:

• creating an embedding of a first version of a data source;
• creating an embedding of a second version of the data source;
• providing the embedding of the first version of the data source and the embedding of the second version of the data source to a comparison engine, wherein the comparison engine has been configured to:
• compare the embedding of the first version of the data source and the embedding of second version of the data source;
• and
• generate a data source difference summary that is based on differences between the embedding of the first version of the data source and the embedding of the second version of the data source;
• creating an embedding of a software application code module;
• providing the embedding of the software application code module and the data source difference summary to a first machine learning model that has been trained to generate an application code change instruction, based on the data source difference summary and the embedding of the software application code module, that indicates one or more changes to the software application code module;
• and
• providing the embedding of the software application code module and the application code change instruction to a second machine learning model that has been trained to generate an updated version of the software application code module based on the embedding of the software application code module and the application code change instruction;
• and
• updating code of the software application using the updated version of the software application code module.

A system, comprising:

• one or more processors;
• and a memory comprising instructions that, when executed by the one or more processors, cause the system to perform a method for automatically updating a software application to ensure compliance with an updated version of a data source, the method comprising:
• providing an embedding of a first version of a data source and an embedding of a second version of the data source to a comparison engine, wherein the comparison engine has been configured to:
• compare the embedding of the first version of the data source and the embedding of the second version of the data source;
• and
• generate a data source difference summary that is based on differences between the embedding of the first version of the data source and the embedding of the second version of the data source;
• providing an embedding of a software application code module and the data source difference summary to a code update engine, wherein the code update engine comprises one or more machine learning models that have been trained to generate an updated version of the software application code module based on the embedding of the software application code module and the data source difference summary;
• and
• updating code of the software application using the updated version of the software application code module.