Update (August 19): We've released TabNine Local, which lets you run Deep TabNine on your own machine. TL;DR: TabNine is an autocompleter that helps you write code faster. We're adding a deep learning model which significantly improves suggestion quality. You can see videos below and you can sign up for it here. There has been a lot of hype about deep learning in the past few years.

Coders are busy these days as entire software infrastructures transition to the development and deployment of applications incorporating AI. Thankfully, there are powerful tools to help. Google Cloud, for example has recently added to its AI Hub launched in April in response to concerns about reducing redundant AI development efforts, and managing a growing number of machine learning tools. The added collaboration tools are aimed at promoting greater collaboration of data science and machine learning developers, as they manage their pipelines and trained models, as described in an account in Enterprise AI. Enhancements to the hub are said to allow great sharing of trained ML models and pipelines from the Kubeflow workflow automation tool.

Over the past year, AI has seriously improved its ability to generate the written word. By scanning huge datasets of text, machine learning software can produce convincing samples of everything from short stories to song lyrics. Now, those same techniques are being applied to the world of coding with a new program called Deep TabNine. Deep TabNine is what's known as a coding autocompleter. Programmers can install it as an add-on in their editor of choice, and when they start writing, it'll suggest how to continue each line, offering small chunks at a time.