k-dizzled/ml4se-program-repair

This project is a TypeScript-based pipeline that uses large language models to generate, stress-test, and iteratively repair code solutions from the LiveCodeBench dataset, creating a specialized dataset for training error-prediction models. It is designed for researchers and developers in machine learning for software engineering (ML4SE) exploring automated program repair alternatives to traditional interpreters. The work