JetBrains Research

At JetBrains, we care about Kotlin compiler quality. One powerful way to test it? Fuzzing, an approach that feeds programs unexpected, often random, inputs to uncover bugs that traditional tests may miss. It may sound chaotic, but it works, especially for complex software like compilers. In a pre…

As AI tools continue to advance and become bigger parts of our lives, it is important to think critically about AI interactions. At JetBrains, some of our research teams study this, with a particular interest in enhancing these interactions in code-related tasks. In this post we will look at how our teams applied insights from a leading theory on motivation, Self-Determination Theory, to empirical results, and identified areas for actionable improvement.

Ever wanted to share your ideas about AI and have a chance at winning prizes at the same time? As a company dedicated to creating the best possible solutions for software development, we at JetBrains want to know what you think about AI in software development.

Quantum computers promise a massive leap in computing power, making volume of computations trivial. Mastering their use could revolutionize technology.

In Volume 2 of the JetBrains Research Digest, we present a new selection of the latest developments from the JetBrains Research team. Opening of the AI for Software Engineering research partnership As announced in early October, JetBrains and Delft University of Technology have joined forc…

Timofey Bryksin, Head of Research Lab in Machine Learning Methods in Software Engineering at JetBrains, answered questions about the work his team does, the problems they try to solve, and other topics of interest to his lab.

You may have heard that at JetBrains, we “develop with pleasure” and have the “drive to develop”, but what you may not have heard is that our interests are not limited to just development and the creation of powerful, productivity-enhancing tools. We very much believe in improving on what we can and…