- Last week, we shared our point of view on where we think agentic development is headed and introduced JetBrains' answer to it: JetBrains Air, an open system of products for agentic development. To…
- Trained with reinforcement learning in real environments, Mellum2.1 is built for coding agents and fast sub-agents that run on your own hardware.
- Part 1: Parsing, chunking, and vectorization Some time ago, we set out to build the best semantic code search platform we could: a RAG pipeline that gives LLM agents precise, citable evidence from real repositories instead of whatever grep happens to surface. The eventual solution was Air Context. …
- Air now puts multiple projects in one window, renders Markdown files as formatted documents, and fixes IME input on Windows.
- Over the past six months at JetBrains, our AI development expenses have increased roughly 10x. When the costs started rising, of course we noticed – and realized that we simply didn't know how to control them systematically.
- Part 3 of a series where we take public "token saver" 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%). Part 2 was rtk (advertised −60–90%, measured +7.6%). We ran 80 paired tasks to test the pony…
- 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 AI Assistant: A New Agentic Experience: JetBrains Air in IDEs – EAP Now Open
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