On Global Accessibility Awareness Day, we want to highlight recent and upcoming improvements in JetBrains IDEs: magnifier support on Windows, enhanced keyboard navigation to previously unreachable IDE parts, and Orca support since 2026.2.
From the linked blog post, you'll learn what's already available and what we're actively working on to make our products accessible.
Developers who rely on accessibility features in your daily work, we would appreciate your feedback!

I’m building a Forgejo plugin for JetBrains IDEs with the goal of bringing a more GitHub-like UX directly into the IDE, but for Forgejo.

Plugin link: https://plugins.jetbrains.com/plugin/31556-forgejo

If anyone here uses both Forgejo and JetBrains IDEs, I’d really appreciate feedback on whether the workflow feels useful, what feels missing, and where the UX could be improved.

As a small thank-you, I’m also happy to give a few months for free to people who try it and share feedback.

Thanks!

Get Clojure up and running in IntelliJ for a fast, productive Lisp development workflow on the JVM. I focus on practical setup for REPL-driven development, dependency management, code evaluation, and debugging so I can build and iterate efficiently. A strong use case is developing a data transformation pipeline that ingests EDN or JSON, applies functional business rules, and validates results directly from the IntelliJ Clojure REPL.

I currently have 3 completely separate IntelliJ projects: Kotlin project, Dart Project and React/TypeScript project. All 3 projects sit inside of a sinlge git repo:

Git Root

Kotlin Project

• Kotlin module 1
• Kotlin module 2
• Kotlin module 3

Dart Project

• Dart module 1
• Dart module 2
• Dart module 3

React/Typescript Project

I was thinking of combining them into one large IntelliJ project, that sits at the git root.

I was wondering how others organize a project like this?

The industry is currently burning billions on server GPUs, and the trend of moving computations to the Edge (end devices) has already started. Apple Intelligence and local NPUs in Android flagships are just the beginning.

Privacy by Design: For projects involving personal data, privacy is critical. Running everything through server cloud systems is a cost of today's technologies, while doing it through local LLMs and MAS is a killer feature. The data does not leave the device!

Native Concurrency: Python suffers from the GIL and workarounds in asynchrony. In KMP, we get native Coroutines and Flow. Agents in Koog are simply lightweight coroutines that communicate via channels without blocking the app's UI thread. This is elegant and mathematically rigorous.

KMP + Koog is the ideal foundation for Client-Side MAS. Python dominates in AI only because of its historically established ecosystem of mathematical libraries. But for orchestrating agents on the device, it is terrible.

But at the moment, we are hostages to the current stage of technological development and popular trends(

I’ve tried a few, but none of them really hit the mark. So, is anyone still using IntelliJ IDEA for coding?

i boot bookworm puppy linux using pendrive. have tried multiple times to install IntellijIdea but everytime it fails. please help me