System and method for translating a first coding language into a second coding language

A system for translating a first coding language into a second coding language, comprising:

• a computer having a processor and a memory;
• and
• one or more code sets stored in the memory and executed by the processor, which, when executed, configure the processor to:
• train a first machine learning (ML) model at least in part on a first coding language specific data set relating to the first coding language,
• wherein the first ML model is trained to translate one or more code sets of the first coding language to respective one or more code sets of the second coding language;
• using the first ML model, generate at least one unit test case,
• wherein the at least one unit test case runs the one or more code sets of the second coding language in parallel with the one or more code sets of the first coding language;
• iteratively test and refine the first ML model based at least in part on a maturity level of the first ML model until a maturity threshold is reached;
• and
• upon reaching the maturity threshold, containerize the one or more code sets of the second coding language into an application.

A non-transitory computer-readable medium storing computer-program instructions that, when executed by one or more processors, cause the one or more processors to effectuate operations comprising:

• training a first machine learning (ML) model at least in part on a first coding language specific data set relating to the first coding language,
• wherein the first ML model is trained to translate one or more code sets of the first coding language to respective one or more code sets of the second coding language;
• using the first ML model, generating at least one unit test case,
• wherein the at least one unit test case runs the one or more code sets of the second coding language in parallel with the one or more code sets of the first coding language;
• iteratively testing and refining the first ML model based at least in part on a maturity level of the first ML model until a maturity threshold is reached;
• and
• upon reaching the maturity threshold, containerizing the one or more code sets of the second coding language into an application.