Seems like a gross overestimation of time needed for said advances and complexity of such systems. There is already a research-grade approach to learn to genera

Seems like a gross overestimation of time needed for said advances and complexity of such systems. There is already a research-grade approach to learn to generate short programming-challenge-like programs from natural language description: http://arxiv.org/abs/1510.07211 http://arxiv.org/abs/1510.07211 >This paper envisions an end-to-end program generation scenario using recurrent neural networks (RNNs): Users can express their intention in natural language; an RNN then automatically generates corresponding code in a characterby-by-character fashion. We demonstrate its feasibility through a case study and empirical analysis. To fully make such technique useful in practice, we also point out several cross-disciplinary challenges, including modeling user intention, providing datasets, improving model architectures, etc. Although much long-term research shall be addressed in this new field, we believe end-to-end program generation would become a reality in future decades, and we are looking forward to its practice.