Supercharge your tools with AI-powered features inside many JetBrains products
Building agents is weird. You're not writing code that does things. You're writing code that gives an LLM the ability to do things, and the LLM decides what to do. What is an agent? An agent is an LLM that calls your functions in a loop until it decides the task is complete. That shift takes s…
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.
At JetBrains, we've spent 25 years building tools for developers. Over the past two years, we've seen that AI isn't just changing how developers write code – it's beginning to reshape the entire process of product development. Not only is AI making developers more productive, helping with everyth…
We recently released Koog 0.5.0, introducing full Agent2Agent (A2A) protocol support, which makes it easier than ever to build systems of interconnected AI agents in Kotlin. But A2A is just the beginning. Koog 0.5.0 brings a host of improvements that make agents more persistent, tools smarter, an…
If you’ve ever tried building a system of multiple AI agents, you’ve probably run into the problem. It starts simple enough: you’ve got one agent writing blog posts, another proofreading them, and maybe a third suggesting or generating images. Individually, they’re effective. But getting them to work together? That's where things might start falling apart.
Featuring Langfuse and W&B Weave Support, Ktor Integration, Native Structured Output, iOS Target, GPT-5, and More. Koog 0.3.0 was about making agents smarter and persistent. Koog 0.4.0 is about making them observable, seamlessly deployable in your stack, and more predictable in their outputs …
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.
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.
Are you ready to dive into the world of AI agents and create your own from scratch? We’ve got just the thing for you! Join us this August for a two-part livestream series about Koog, JetBrains’ open-source agentic framework that empowers developers to build AI agents entirely in Kotlin. Whether y…
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…
At AI Summit London 2025, Kris Kang, Head of Product for AI at JetBrains, gave a talk that questioned a common belief in AI development: that bigger means better.
AI is no longer a distant idea. It’s already here and changing how we build software. As it advances, new questions emerge about its impact.