Techniques for integrating segments of code into machine-learning model

A server system for training a machine-learning model to generate predictive outcomes for integrating a segment of code into a program, comprising:

• one or more memories storing instructions;
• and
• one or more processors communicatively coupled to the one or more memories the one or more processors configured to execute the instructions to conduct operations to:
• matching a segment of code for a code integration request to metadata about similar segments of code, wherein the metadata quantifies one or more outcomes of previous integration requests;
• determining usage rights and rules based on the metadata, wherein some of the usage rights and rules have previously been approved by a multi-approval workflow that enforces a predetermined process to authorize use of the segment of code for code segment integrations;
• analyzing the metadata to predict an integration score based at least in part on the usage rights and rules of the segments of code;
• if the integration score of the segment of code exceeds a threshold, automatically generating a data structure for deploying the segment of code, wherein the automatically generating the data structure is performed without the multi-approval workflow;
• and
• storing the data structure in a memory.

A non-transitory computer-readable medium storing instructions for training a machine-learning model to generate predictive outcomes for integrating a segment of code into a program, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to conduct operations to:
• matching a segment of code for a code integration request to metadata about similar segments of code, wherein the metadata quantifies one or more outcomes of previous integration requests;
• determining usage rights and rules based on the metadata, wherein some of the usage rights and rules have previously been approved by a multi-approval workflow that enforces a predetermined process to authorize use of the segment of code for code segment integrations;
• analyzing the metadata to predict an integration score based at least in part on the usage rights and rules of the segments of code;
• if the integration score of the segment of code exceeds a threshold, automatically generating a data structure for deploying the segment of code, wherein the automatically generating the data structure is performed without the multi-approval workflow;
• and
• storing the data structure in a memory.