Superhuman Code, Semantic Analyzers and Automated Debugging: How Machine Programming Will Change the Future of Electronic Engineering

What if we could improve engineering productivity by 1000% and decrease debugging by 50%? In this week’s podcast, we investigate how machine programming will help us do all of this and more! Justin Gottschlich (Principal AI Scientist & Director/Founder of Machine Programming Research at Intel Labs) joins me for a deep dive into the world of machine programming. We take a closer look at the development of this pioneering research initiative, the details of Intel’s open source machine programming research system (ControlFlag) and why Justin believes that automated debugging and performance extraction will unlock untold possibilities in the realm of software and hardware development.