The JetBrains Blog

The last couple of months have been busy ones for ReSharper across VS Code and compatible editors. Between the 2026.1 and 2026.2 releases, we've been steadily sharpening the everyday .NET experience – from tracing how your data flows, to navigating call chains, to keeping your project structure fron…

For over a year, the most consistent question from our users and community has been clear: When will the ReSharper extension support debugging? We heard you. And with the 2026.2 release, the first version of the debugger is now live. Built on the same core debugging engine that powers JetBra…

Did you know? The using keyword has two completely different meanings. You can use it to import classes from different namespaces at the top of a file, or to ensure deterministic cleanup in a method body. It’s not the only keyword that has multiple meanings. See how many you can think of. Wel…

A few years back, the Kotlin team figured it was time their programming language had a mascot – something fun and friendly to make developers feel more at home. After all, so many other programming languages have their own characters – Gofer, elePHPant, Dart’s Dash, or Rust’s Ferris, for example. …

Discover new ways to showcase your work, learn about AI by building real projects, and rethink how you use chatbots as you learn to code.

We’re releasing an open benchmark for evaluating AI coding agents on real-world Kotlin tasks. Compare agents, inspect the methodology, and see the results on the leaderboard.

Compare the top object detection models for 2026. YOLOv12, YOLO26, RF-DETR benchmarks, use cases, and selection guidance.

A look at where TeamCity is today, where we believe CI/CD is heading, and what we are building next.

Leaderboard scores don’t hold up when we look more closely at benchmarks that are considered standards. The models dramatically improved on the exact tasks we trained them on, yet those gains often did not show up on other benchmarks or on slightly different tasks in the same codebase. This blog post is about our research on that meaning gap between what coding benchmarks measure and what we wish they measured – and how to improve these benchmarks.

We’re about to start rolling out a new set of AI capabilities that provide shared context, reusable agentic workflows, organization-level governance, and cost control for software production. Developers use different AI tools depending on the task – from JetBrains IDEs to terminal-based agents su…

Welcome back to another edition of Java Annotated Monthly! As always, we've rounded up the best reads from across the ecosystem so you don't have to go hunting yourself. This month's lineup spans the usual favorites: fresh finds from the Java and Kotlin worlds, a healthy dose of AI developments w…

It’s a situation you’ve probably experienced before: late in your development process, a security vulnerability surfaces during final testing, weeks after the code was written. As a result, you find yourself context-switching from your current sprint, reconstructing decisions you made a month ago, a…