JetBrains AI

Air now supports GitHub Copilot, OpenCode, Pi, Cline, and other ACP agents, adds Java and Kotlin IDE intelligence, and runs Windows tasks in Docker.

Today, we’re launching JetBrains Context, a new repository intelligence layer that helps coding agents work more efficiently and produce higher-quality results on complex codebases. As part of the JetBrains AI for Teams and Organizations rollout, JetBrains Context is now available in early access at…

Does "rtk" reduce Claude Code token usage? Part 2 of a series where we take public “token saving” add-ons for coding agents and run the same paired A/B benchmark against each of them. Part 1 was the caveman skill (advertised −65%, measured −8.5%). TL;DR: rtk advertised saving: 60–90%. Measured…

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.

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…

A paired A/B benchmark of the token-compression skill Caveman on Claude Code, run on SkillsBench: does it actually save tokens, and does it degrade AI agent output quality? Advertised saving: 65%. Measured saving: 8.5%. Output-token saving on real agentic tasks, with the skill forcibly activat…

Born out of a deep partnership between JetBrains and GitHub, this integration makes Copilot native in the agent picker and delivers a more stable agent experience directly in the IDE you already use every day. From ACP Registry to native experience Copilot was previously accessible via the…

JetBrains Air is now available for Windows. Try it today!

We evaluated coding agents across the JVM, .NET, and Python – and Codex was the winning agent.

Here's a case worth pondering: your app freezes for ten seconds, and you ask an AI agent what's wrong. What does it actually do? For a long time the honest answer was: it rummages through your code and takes a wild guess. A snapshot taken by a profiler tool is runtime evidence. It knows exactly w…

At the JetBrains x Codex Hackathon, I spent two days watching teams build and then pitch their projects. The thing that decided most of the winners wasn't just the previous twenty-four hours of work. It was the few minutes they spent presenting it. A strong project with a confusing demo loses to a s…

Junie started as an experiment. We asked, “What if an AI coding agent didn't just guess at the details of your project, but actually used the same tools you do?” Over the last year, that experiment turned into a product used by developers every day – inside the IDE and the terminal.  Today, …