  In this paper, we present the first-of-its-kind machine learning (ML) system,
called AI Programmer, that can automatically generate full software programs
requiring only minimal human guidance. At its core, AI Programmer uses genetic
algorithms (GA) coupled with a tightly constrained programming language that
minimizes the overhead of its ML search space. Part of AI Programmer's novelty
stems from (i) its unique system design, including an embedded, hand-crafted
interpreter for efficiency and security and (ii) its augmentation of GAs to
include instruction-gene randomization bindings and programming
language-specific genome construction and elimination techniques. We provide a
detailed examination of AI Programmer's system design, several examples
detailing how the system works, and experimental data demonstrating its
software generation capabilities and performance using only mainstream CPUs.
