Generating interfacing source code

A method implemented using one or more processors, comprising:

• processing a natural language input to generate one or more interface request semantic embeddings, wherein the natural language input requests generation of interfacing source code to logically couple multiple computing components associated with multiple different domains;
• processing the one or more interface request semantic embeddings based on one or more transformer networks associated with the multiple computing components to generate, for inclusion in one or more pools, candidate code snippets for logically coupling the multiple computing components together, wherein one or more of the transformer networks are trained based on corpuses of documents associated with the multiple domains;
• generating a plurality of candidate instances of interfacing source code between the multiple computing components, wherein each candidate software interface comprises a different permutation of candidate code snippets from the one or more pools of candidate code snippets;
• and
• causing output to be rendered by a computing device, wherein the output conveys one or more of the candidate instances of interfacing source code to a user.

A system comprising one or more processors and memory storing instructions that, in response to execution of the instructions by the one or more processors, cause the one or more processors to:

• process a natural language input to generate an interface request semantic embedding, wherein the natural language input requests generation of interfacing source code to logically couple a first computing component associated with a first domain with a second computing component associated with a second domain;
• process the interface request semantic embedding using one or more transformer networks to generate, for inclusion in a first pool, candidate code snippets for logically coupling with the first computing component, wherein one or more of the transformer networks are trained based on a first corpus of source code associated with the first domain;
• process the interface request semantic embedding using one or more of the transformer networks to generate, for inclusion in a second pool, candidate code snippets for logically coupling with the second computing component, wherein one or more of the transformer networks are trained based on a second corpus of source code associated with the second domain;
• generate a plurality of candidate instances of interfacing source code between the first and second computing components, wherein each candidate software interface comprises a different permutation of candidate code snippets from the first and second pools of candidate code snippets;
• and
• cause output to be rendered by a computing device, wherein the output conveys one or more of the candidate instances of interfacing source code to a user.