At the GitHub Universe conference, the company has introduced some automatic coding features, resources that demonstrate how machine learning and data science can be applied to software development.
The goal is to take advantage of advances in artificial intelligence to save time for programmers. Github has been in existence for ten years and has a lot of experience in crawling dependencies, keeping code safe and discovering new projects.
What are new options on Github?
What he has presented are only the first brushstrokes of a long-term project. According to Jason Warner of GitHub. They want to integrate AI more and more into the world of programming. And are aware that they are in a privileged position to do so.
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The first point presented refers to dependencies. They have created a new graphic that will show the projects that depend on our code and those that we need to make it work. It will also display information on whether the software is up to date, its security vulnerabilities, its license and more.
GitHub will soon also launch security alerts, to avoid problems in projects used by many people.
They are also launching a new “discovery of repositories” feed in their control panel. That will help discover the right among the more than 25 million repositories active on the platform.
We are still very far from seeing a machine programming alone. But we are at a point where they can facilitate the work so that the programmer can dedicate himself to creating, not just “keystrokes.”