The JetBrains Blog

“Just because you can build 100 things doesn’t mean you should.” Engineering teams share what they’re learning about building with AI agents.

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…

Agentic workflows used to live on one developer's laptop. With Air Teams, you configure a workflow once, and the whole team can run, validate, and improve it.

AI can produce code. Organizations still have to produce software. Agentic development is changing how software gets made, but it hasn’t changed what it costs to be wrong. Six months ago, we began publicly experimenting with agentic development environments. Around the same time, we introduced Je…

Let Junie test a feature in your app, watch it work, and review the video, screenshots, and HTML report.

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. …

Rust AI is moving from the experimentation stage toward more practical usage. We recently kicked off a new livestream series with the Rust Foundation to explore how Rust and AI are coming together in real-world applications. In the first session, our Developer Advocate Orhun Parmaksız spoke with Ste…

“100% of my code is written by AI coding agent!” You’ve probably heard this claim many times this year.

TL;DR Repository on GitHub: Modern Go Guidelines. Purpose: Modern Go Guidelines are a set of skills that help AI coding agents write up-to-date Go code that matches the Go version in your project. Version support: The skills cover useful language features and standard library additions fro…

AI can write code quickly, but Django developers still need to understand the application, evaluate what the agent produces, and be accountable for what ships. That makes your IDE more important, not less.

Air now puts multiple projects in one window, renders Markdown files as formatted documents, and fixes IME input on Windows.

We traced a frontier model through fifteen C# refactoring tasks and counted what it reached for. It piped text into interactive commands 468 times. It called git 422 times and sed 392 times. It ran dotnet build 163 times. Across 2,513 tool calls it performed a structural refactoring operation exactl…