DiffuCoder thinks differently from most code models — instead of generating tokens left-to-right, it uses a diffusion-based approach, iteratively refining its output from noise. This gives it a more holistic view of code structure, though it can behave less predictably than autoregressive models. It's an experimental colleague: interesting to work with, but still finding its footing in production settings.