If you go to GitHub, the most popular developer platform today, and search for a piece of code, it is a plain-text search.
“It’s like how we used to search on the web in 1996,” said Eiso Kant, CEO and co-founder at source{d}, a startup focused on applying machine learning on top of source code.
“We have been writing trillions of lines of source code across the world, but none of the systems or developer tools or programming languages we’ve designed actually learn from all the source code we have written.”
A compiler that translates a programming language into machine code that executes on the device uses a large set of rules that never take into account actual language, he said.
Read more at The New Stack
