JetBrains

On a mission to make software development a more productive and enjoyable experience. Make it happen. With Code.

[JetBrains @jetbrains]

Code generation is up. But the business impact has… stalled.

The productivity paradox is real. And the solution is simple.

Spoiler, it’s not another pilot.

Join our CPO Kris Kang at #LondonTechWeek as he discusses what really moves mountains for your business.

[JetBrains @jetbrains]

“Java copied a lot of what we had in Scala.” @odersky (creator of Scala and contributor to Java generics) joins Marco to talk about Java, JVM languages, AI-generated code, and why “you can’t trust your agents.”

Watch now: https://t.co/Mr46CsM7tz

[JetBrains @jetbrains]

Supporting the Agent Client Protocol is more than just integrating agents into JetBrains IDEs – it also allows Junie, our AI coding agent, to work in other client tools. We’re excited to welcome Devin Desktop to the ecosystem!

[Cognition @cognition]

Devin Desktop supports the Agent Client Protocol (ACP): bring your own agents to work alongside Devin, all in one unified view.

[JetBrains @jetbrains]

As announced on Microsoft Build, we're deepening our partnership with @GitHub @GitHubCopilot . Over the next few months, we're going to unveil the work we're doing to bring Copilot's agent capabilities closer to the IDE. @JavaAtMicrosoft

[Air by JetBrains @getsome_air]

Linux when? Air Now 🐧

JetBrains Air is now available on Linux – our first official, stable build.

Linux folks, your turn: download it via Toolbox and tell us what you think.

Product and QA are watching this thread 👀

[JetBrains @jetbrains]

@AlloyLauncher Our team and community include people of all backgrounds. Supporting them is part of who we are, not separate from what we build.

[JetBrains @jetbrains]

Belonging shouldn’t be a challenge. It should be the standard we all aim for.

Happy Pride Month to every single member of the JetBrains team.

[JetBrains @jetbrains]

Built on a mixture-of-experts (MoE) architecture, Mellum2 delivers high-performance inference, often twice as fast as similar-sized models, while maintaining strong quality across code generation, science, math, and reasoning benchmarks.

Try Mellum2: https://t.co/Rf4w5gs9In

[JetBrains @jetbrains]

Mellum started with code completion.
Mellum2 is built for more – handling both natural language and code.
A 12B-parameter open-source LLM for routing, RAG, and sub-agents, optimized for ultra-low-latency inference.
Now on @huggingface.
Learn more: https://t.co/28sG8Ql52L

[JetBrains @jetbrains]

Many development teams are exploring ways to use AI to improve performance, and we're no exception. With AlphaEvolve from @GoogleDeepMind, we've optimized the core indexing logic of JetBrains IDEs, improving real-life benchmarks. https://t.co/wGbda4xGzj