Abstract: Systems and methods for implementing bidirectional visual indexing of a codebase are disclosed. An embodiment of the present invention receives a user input comprising at least one of: a screenshot, a text query, a code diff or a URL link; queries a database to identify one or more related screens based on the user input by comparing vector representations of the user input and a set of data frames; provides a set of metadata for the identified one or more related screens wherein the set of metadata comprises: similarity scores, usage statistics, associated code segments, and network requests; identifies at least one relevant function associated with each of the one or more related screens; performs an impact analysis related to modifying the at least one relevant function using an artificial intelligence (AI) processor; and generates a risk analysis for the modifying of the at least one relevant function.