Recent tech discussions challenge the argument that large language models cannot act as compilers due to their non-deterministic nature, noting that model outputs can easily be made deterministic. Commenters argue the true limitations of AI coding assistants stem from leaky abstractions requiring human debugging and their reliance on inductive reasoning rather than strict deductive logic. Ultimately, the consensus suggests that the stochastic errors and unpredictability of generated code, rather than theoretical non-determinism, remain the primary hurdles for automated software development.