The JetBrains Blog

The world of computer science (CS) education is changing rapidly. From AI-powered tools to new modes of online and blended learning, it has never been more dynamic – or more critical. Education research has looked into some aspects of how students learn computer science, but when we ask the big questions about who is learning computer science, how, and why, there are surprisingly few big-picture studies out there. Our Education Research team with our Strategic Research and Market Intelligence and JetBrains Academy teams addressed this gap by surveying a diverse audience on a wide range of topics. The dataset is available online, and we encourage you to explore it yourself!

In our last post, we introduced our talented intern cohort from our AI4SE research partnership with TU Delft. In this post, we're excited to spotlight the next chapter in their journey: their evolution from interns to full-time members of our tech team. These individuals didn't just stand by and observe: they immersed themselves in real projects, tackling complex challenges with technologies at the core of our business.

Our Software Testing Research team recently collaborated with TU Delft to develop a research framework: TestSpark for improved test generation for Java programs.

In a short series of posts, we will tell you about four recent graduates who were part of our AI for Software Engineering (AI4SE) research partnership with Delft University of Technology (TU Delft). Having recently completed their MSc thesis work as interns here at JetBrains, they are now starting full-time positions with us. The first post will introduce you to them and their experiences at JetBrains so far, and the second will go deeper into their experiences and new roles.

In online learning environments, tasks can often stump students, which can be challenging to navigate since teachers can’t always be there to help. Our Education Research team develops innovative features for education tools and recently built a smart AI-based hints tool that provides personalized feedback for students who might need help solving tasks. This AI tool goes beyond the automated hints common in massive open online courses (MOOCs) and delivers tailored, effective guidance that helps students move forward.

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.