The latest updates on all JetBrains products and topics
Most enterprises claim to govern their AI use. They have policy documents, review boards, approval flows, and sandbox environments. On paper, control exists. Then agents enter real software delivery workflows.
Junie CLI, the LLM-agnostic coding agent, is now in Beta. With the upcoming release of Junie CLI, you will be able to use Junie directly from the terminal, inside any IDE, in CI/CD, and on GitHub or GitLab.
Has your team's sprint velocity actually improved since you approved all those AI coding tools? If not, recent research by JetBrains and UC Irvine shows your developers may be facing a new dimension of context switching that resists the usual fixes. The key findings were that most …
This opinion piece by JetBrains’ Team Lead in AI Development Experience reflects on key takeaways from NeurIPS 2025, a major AI research conference. It explains why these insights matter and considers related signals emerging from other recent research.
We’re introducing the JetBrains Console, which provides enhanced AI management and analytics for organizations, including new capabilities to manage, observe, and control AI usage and costs across teams.
Since the 2025.3 release, we’ve published several rapid-response updates (2025.3.0.1–2025.3.0.4) for ReSharper and Rider to address the most urgent issues as quickly as possible. The 2025.3.1 update brings all of those fixes together and includes additional improvements that required more time to im…
Diffusion models, and in particular diffusion large language models (d-LLMs), operate differently from current coding assistants. Unlike autoregressive models, which generate token by token and line by line in a strict left-to-right sequence, d-LLMs condition on both past and future context.
Every developer recognises the trade-off. You can take the shortcut that delivers today but breaks tomorrow, or choose the slower approach that earns lasting confidence.
Instantly deploy a trusted, transparent code completion model without additional fees.
This summer, we're making Mellum, our code completion model, easier for developers to use locally, and we’re introducing support for more languages than ever.
AI agents are already in your tools—now it’s time to understand them. Learn to build and work with them responsibly in this free course by JetBrains and Nebius.
I was testing my agent built on Koog, JetBrains' open-source framework for building AI agents in Kotlin. I fed it a task from SWE-bench-Verified, a real-world GitHub issue that tests whether AI can actually write code. For the first 100 messages, everything looked promising. The agent methodicall…
