The JetBrains Blog

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…

A while ago, we launched a long-term project to enable users to run Junie entirely locally, with local inference, across a wide variety of hardware setups. After much anticipation, we recently released an initial version of Junie Local that works on a MacBook M5 with Qwen3.6-27B. In this blog pos…

Learn best practices for managing Spring Boot configuration across environments, from defaults and validation to secure secrets handling.

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.

GoLand 2026.2 recognizes the new Go 1.27 language features, brings the go fix modernizers into code analysis, and can capture and analyze the new profile in its profiling tools.

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

Learn how to make expected failures visible in Kotlin function signatures with sealed error types and Either.

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…

Our first minor update for the 2026.2 release cycle is ready to download. Here’s what’s new. Rider Rider 2026.2 put AI-assisted development front and center, and v2026.2.1 keeps that momentum going: The bundled refactoring-code skill helps AI agents refactor code faster and at lower cost. …

Across the PyCharm 2026.2 release line, we shipped 263 fixes and improvements. Many improve Python code insight directly, with more precise type inference, fewer false positives, smarter completion and imports, and more reliable refactoring. Here are some of the smaller changes you’re likely to notice in everyday Python development.

Atlassian recently announced that they are suspending sales for Data Center Products, followed by the end of life for those products in 2029. Additionally, this August, Atlassian began using certain customer data to improve its AI experiences. In light of these changes, switching to an alternative solution has become a priority for many organizations.

How many developers use AI coding agents (Claude Code, Codex, Cursor, JetBrains Junie, and others)? Evidence from the Developer Ecosystem Survey 2026.