#JetbRainS

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

I ran JetBrains Junie inside IntelliJ IDEA for two weeks on a large Kotlin codebase. Here is where the native IDE integration actually pays off, and where the quota and IDE weight bite back.

From Dev.to - webdev: I spent months fighting VS Code webviews, so I built an open source universal extension protocol

From Dev Community: Opinion: JetBrains 2026.2 Is Worth the License Cost — It's 30% Faster Than VS Code 2026 for Java 22

From Dev RSS Feed: Retrospective: Switching from VS Code 1.90 to JetBrains 2026.1 – Productivity Gains for 50 Engineers

From Dev.to - ai: Local AI Accessibility, JetBrains’ 2026 IDE Plans, and Agentic Architecture Pitfalls

Most developers know about the big offenders — Xcode's DerivedData, Docker images, node_modules. But...

From Dev Community: Deep Dive: How JetBrains Fleet Indexes 1M Line Codebases with Rust 1.85 and Kotlin 2.0

AI is everywhere except in CI/CD Developers now use AI for nearly everything, except the part that actually ships code. Recent surveys conducted by JetBrains indicate that AI is now widely used in software development, with workplace usage exceeding 90%…