Visual Programming Platform Featuring Machine Learning for Automated Code Development

A computer-implemented method for finetuning a sequence processing model to perform a pseudocode drafting task, the method comprising:

• obtaining, by a computing system comprising one or more computing devices, a training tuple, the training tuple comprising a natural language description of a computational pipeline and a set of programming-language code that defines the computational pipeline;
• decompiling, by the computing system, the set of programming-language code to generate a set of ground truth pseudocode;
• processing, by the computing system, the natural language description of the computational pipeline with the sequence processing model to generate a set of predicted pseudocode;
• evaluating, by the computing system, a loss function that compares the set of predicted pseudocode with the set of ground truth pseudocode;
• and
• modifying, by the computing system, one or more values of one or more parameters of the sequence processing model based on the loss function.

One or more non-transitory computer-readable media that store computer-executable instructions that, when executed, cause a computing system to perform operations, the operations comprising:

• obtaining a natural language description of a task to be performed by a computational pipeline;
• processing the natural language description of the task with a machine learning coding system comprising one or more machine-learned models to generate, as an output of the machine learning coding system, a set of pseudocode that describes performance of the task;
• processing the set of pseudocode that describes performance of the task with a compiler to generate a set of programming-language code that defines the computational pipeline for performing the task;
• generating a graphical visualization of the computational pipeline defined by the set of programming-language code;
• and
• providing the graphical visualization of the computational pipeline for display in an interactive user interface that enables a human user to edit the graphical visualization to modify the set of programming-language code.