Abstract: An electronic system is typically configured for crawling into at least one code repository comprising one or more codes that are associated with one or more applications that are in development phase, wherein the one or more applications are associated with disparate frameworks, identifying, via a machine learning model, one or more dependencies associated with the one or more codes based on crawling into the at least one code repository, determining that the one or more dependencies are present in an internal library repository, generate dependency libraries by downloading the one or more dependencies from the internal library repository, and providing the one or more dependencies downloaded from the internal library repository for building the one or more codes for deployment, wherein the one or more dependencies are utilized for building dependency libraries associated with codes that require same dependencies as that of the one or more codes.

Abstract: An electronic system is typically configured for crawling, via a machine learning model, into one or more API servers, wherein the one or more API servers comprise one or more versions of one or more APIs, capturing, via the machine learning model, information associated with the one or more versions of the one or more APIs, creating context objects associated with each of the one or more versions of the one or more APIs, receiving a real-time API request from a client system, processing the real-time API request received from the client system, and routing the real-time API request to an API version of the one or more versions.