In recent years, GitHub has fundamentally changed developer workflows. By centralizing code on an easily accessible platform, the company was able to rapidly change the way people code. Following in these footsteps, Israeli startup Codota wants to further optimize workflows for the often neglected developer community — this time with machine intelligence. The company is announcing a $2 million seed round from Khosla Ventures for its autocomplete tool that helps engineers push better code in less time.
Codota interfaces with integrated development environments like Eclipse, expanding on intelligent code completion. Instead of just offering up brief suggestions of intended code, Codota can recommend larger chunks.
Co-founders Dror Weiss and Eran Yahav took advantage of open source code on the internet from GitHub and StackOverflow to build Codota. All of this public code was fed into machine learning models to enable them to recognize higher-level meaning across blocks of code.