System and method to dynamically modify specific code portions of an application

A method, comprising:

• training a first artificial intelligence algorithm based at least in part upon first input data representative of historical usage data of an application, the historical usage data comprising usage patterns associated with a portion of the application;
• creating, using the trained first artificial intelligence algorithm, a plurality of tracking parameters configured to track performance of the portion of the application;
• tracking, in conjunction with the plurality of tracking parameters, a plurality of interactions between a user device group and the portion of the application;
• structuring, using the trained first artificial intelligence algorithm, the plurality of interactions into one or more interaction types;
• associating a first interaction type of the one or more interaction types with a segment of user devices of the user device group;
• training a second artificial intelligence algorithm based at least in part upon second input data representative of documentation associated with base code of the application, wherein:
• the documentation comprising compilation reports associated with previous updates of the application and the base code;
• and
• the base code being representative of a current release version of the application;
• electronically dividing, using the trained second artificial intelligence algorithm, the base code into a plurality of code blocks based at least in part upon a corresponding impact of each code block in the base code of the application;
• correlating, using the trained second artificial intelligence algorithm, an impact of a code block to the portion of the application;
• electronically extracting, using the trained second artificial intelligence algorithm, the code block from the plurality of code blocks;
• determining, using the trained second artificial intelligence algorithm, a first modification to the code block based at least in part upon the first interaction type of the one or more interaction types and the impact of the code block to the portion of the application, the first modification to the code block being configured to prioritize performance of the first interaction type when performed in the portion of the application;
• modifying, using the trained second artificial intelligence algorithm, the code block to include the first modification;
• compiling, using the trained second artificial intelligence algorithm, a first modified version of the code block;
• in response to compiling the first modified version of the code block, incorporating, using the trained second artificial intelligence algorithm, the first modified version of the code block back into a first updated version of the base code;
• and
• releasing, using the trained first artificial intelligence algorithm, the first updated version of the base code as a first new release version of the application to the segment of user devices of the user device group, wherein the first new release version of the application is configured to prioritize performance of the first interaction type when performed in the portion of the application by the segment of user devices of the user device group.

A non-transitory computer-readable medium storing instructions that when executed by a processor cause the processor to:

• train a first artificial intelligence algorithm based at least in part upon first input data representative of historical usage data of an application, the historical usage data comprising usage patterns associated with a portion of the application;
• create, using the trained first artificial intelligence algorithm, a plurality of tracking parameters configured to track performance of the portion of the application;
• track, in conjunction with the plurality of tracking parameters, a plurality of interactions between a user device group and the portion of the application;
• structure, using the trained first artificial intelligence algorithm, the plurality of interactions into one or more interaction types;
• associate a first interaction type of the one or more interaction types with a segment of user devices of the user device group;
• train a second artificial intelligence algorithm based at least in part upon second input data representative of documentation associated with base code of the application, wherein:
• the documentation comprising compilation reports associated with previous updates of the application and the base code;
• and
• the base code being representative of a current release version of the application;
• electronically divide, using the trained second artificial intelligence algorithm, the base code into a plurality of code blocks based at least in part upon a corresponding impact of each code block in the base code of the application;
• correlate, using the trained second artificial intelligence algorithm, an impact of a code block to the portion of the application;
• electronically extract, using the trained second artificial intelligence algorithm, the code block from the plurality of code blocks;
• determine, using the trained second artificial intelligence algorithm, a first modification to the code block based at least in part upon the first interaction type of the one or more interaction types and the impact of the code block to the portion of the application, the first modification to the code block being configured to prioritize performance of the first interaction type when performed in the portion of the application;
• modify, using the trained second artificial intelligence algorithm, the code block to include the first modification;
• compile, using the trained second artificial intelligence algorithm, a first modified version of the code block;
• in response to compiling the first modified version of the code block, incorporate, using the trained second artificial intelligence algorithm, the first modified version of the code block back into a first updated version of the base code;
• and
• release, using the trained first artificial intelligence algorithm, the first updated version of the base code as a first new release version of the application to the segment of user devices of the user device group, wherein the first new release version of the application is configured to prioritize performance of the first interaction type when performed in the portion of the application by the segment of user devices of the user device group.