JetBrains AI Assistant: Getting Started with Air in JetBrains IDEs – Part 1

Setting coding agents up to handle several tasks while you continue working is easy. The harder part is knowing where each task stands, what each agent has changed, and what still needs your attentio…

More and more of your terminal work now runs through tools that push the terminal harder than a shell prompt ever did: AI coding agents like Claude Code and Codex, full-screen apps like Neovim and tmux, system monitors and dashboards. These tools lean on modern terminal protocols, the kind today’s b…

Air Governance is the organization layer of JetBrains Air, a system of products for agentic development. It gives you one place to manage which AI agents, models, and providers your teams use, set spending limits, and see what that usage costs and delivers.

We tried, and it builds. We compiled the decision-making part of a Maven-style build tool into a fixed weight matrix and used it to build a real Java library. The output matches Apache Maven's byte for byte. A clean build with tests took 1.49× as long as the same logic written in Python (95% in…

Across every model, agent, and task type tested, JetBrains IDE intelligence made coding agents more efficient overall – typically 20–30% more efficient, and up to about 65% in the best case, depending on the specific model, agent, and task.

Trained with reinforcement learning in real environments, Mellum2.1 is built for coding agents and fast sub-agents that run on your own hardware.

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. Today, we're launching the Early Access Program for Air in JetBrains IDEs. It's available now as a plug…

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…