A new study published in Nature demonstrates a significant advancement in AI’s ability to understand and generate complex code. Researchers developed a model that can not only complete code snippets but also explain the logic behind them in plain language. This dual capability marks a step toward more transparent and collaborative programming tools. The system was trained on a vast dataset of code paired with human-written comments and documentation. Early testing shows it can assist developers by generating functional code from natural language descriptions and providing clear explanations for existing, unfamiliar codebases. Experts suggest this could reduce debugging time and improve knowledge transfer within software teams. For the full details, read the complete article at https://example.com/full-article.