Identifying Coding Patterns via a Control Flow Graph

A method, comprising:

• creating, by a system comprising at least one processor, a dependency graph that represents dependencies within computer code, wherein nodes of the dependency graph represent files of the computer code, and wherein edges of the dependency graph represent respective relationships between respective files of the files;
• associating, by the system, respective control flow graphs with respective nodes of the nodes that correspond to the respective files that correspond to the respective control flow graphs, wherein the respective control flow graphs correspond to respective code blocks of the computer code that are stored in the respective files;
• storing, by the system, order embeddings in a graph database that stores the dependency graph, wherein the order embeddings are based on the dependency graph, and wherein the order embeddings preserve an order of the respective control flow graphs;
• responding, by the system, to an inquiry associated with a user account regarding the computer code with a response that comprises an output of a retrieval-augmented generation system that comprises the graph database and a large language model.

A non-transitory computer-readable medium comprising instructions that, in response to execution, cause a system comprising at least one processor to perform operations, comprising:

• creating a dependency graph from computer code, wherein nodes of the dependency graph correspond to files of the computer code;
• associating respective control flow graphs of the respective files with respective nodes of the nodes, wherein the respective control flow graphs correspond to respective code blocks of the computer code;
• storing order embeddings in a graph database that stores the dependency graph, wherein the order embeddings are based on the dependency graph;
• and
• responding to an inquiry associated with a user account regarding the computer code with a response that comprises an output of a retrieval-augmented generation system that comprises the graph database and a large language model.