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In the previous article devoted to full-line code completion, we looked into the vocabulary that the neural net of our full line completion plugin uses for Python. However, just having 16384 tokens like self., or, s.append(, return value, and others described in the article is not enough to generate…

The JetBrains full line code completion plugin for Python is now available as a public beta. We would like to talk about some of the technologies and algorithms used to create the plugin and share statistics about Python programming that we’ve collected in the process. What is “full line code co…

The previous articles from the series covered the following topics: In the first episode, we discussed general code completion scenarios.The second episode was devoted to the difficulties of heuristics-based implementation and explaining the necessity of machine learning.In the third episode, we …

As we discovered in the second installment of this series, a modern code completion system needs machine learning to rank the suggestions most effectively. Machine learning has one thing in common with human learning: it requires data to extract knowledge. There are many aspects to that process. …

Why not order by what’s logical? I don’t understand.From a bug report In episode 1, we learned about the principal components of the code completion system and discussed its usage patterns and quality requirements. Today, let’s look into what reasons we have to employ machine learning aside from…

Have you ever wondered what happens in the IDE when you start typing a new word and the code completion popup appears? The popup that’s displayed uses machine learning under the hood by default for Java, Python, Ruby, JavaScript, TypeScript, Go, and Scala. This technology can also be manually enable…

It is that time of year again! 48 hours of limitless freedom to play, create, and test out ideas that may go nowhere – or that might just change the world. Following the spirit of Hackathons, this year, we adapted and evolved, and borne our first JetBrains Hackathon: Home Edition, something it turns out that not many of our community members have tried. Our Hackathons bring together people that may not have otherwise cooperated before. Working in 10 cities across 7 countries with time zones as much as 5 hours’ difference, 48 teams made up of 155 participants set out to bring their projects to life.

JetBrains has turned 20, and over the years, we've honed methods for development that match the style, values, and needs of our company. These processes work so well for us that we want to share them with others. Dogfooding, for example, has always played a central role in the development of our pro…

On February 5th we celebrated JetBrains 20th birthday with our beloved community online and in the special section of JetBrains 2019 Annual Highlights. Thank you for the heartfelt and warm birthday greetings that we received. We appreciate the love and would like to share a few of the many birthday …

Arranging a new hackathon The arrangement With the expansion of JetBrains this year and the move into our new offices, we had to push back this year’s hackathon a little bit. But, if anything, this ignited the drive to develop new ideas in our team. So here is a rundown of what went down this year.…

The Hackathlon “Don’t put a limit on anything. The more you dream, the further you get.” — Michael Phelps, winner of 23 Olympic gold medals Faster. Higher. Stronger. The stage was set for the event of the year; the coveted JetBrains hackathon. The rules were very simple: The Hackathon star…