Junie

Introduction — The Rise of Kotlin-Specific AI Coding Benchmarks For years, AI coding benchmarks have been dominated by Python and TypeScript. SWE-bench, HumanEval, and MBPP all lean heavily on these languages, leaving Kotlin developers wondering how well AI agents actually handle JVM-based code, Android development, and Kotlin-specific idioms. In July 2026, JetBrains changed that by releasing the official Kotlin Benchmark for AI Coding Agents — a rigorous, open-source evaluation framework built on Multi-SWE-bench infrastructure that measures how well AI coding agents resolve real-world Kotlin software engineering tasks. ...

On June 17, 2026, JetBrains moved Junie out of beta and shipped three additions that change the calculus for anyone deciding between Junie, Cursor, and Claude Code: agentic debugging with native IDE breakpoint control, a standalone CLI for CI/CD pipelines, and bring-your-own-model keys. I’ve been running the GA release for three weeks across IntelliJ IDEA and PyCharm, and the agentic debugging feature is the one that makes Junie genuinely different from every other AI coding agent on the market right now. ...

Junie is JetBrains’ terminal AI coding agent — part of the JetBrains AI service — that executes multi-step development tasks autonomously while integrating natively with IntelliJ IDEA, PyCharm, WebStorm, and the rest of the JetBrains IDE ecosystem. Unlike general-purpose chat assistants bolted onto editors, Junie runs a plan-implement-test loop with full Git awareness, multi-file context across an entire project, and a BYOK (Bring Your Own Key) option that keeps your code off JetBrains servers entirely. For JetBrains’ 10M+ professional developer user base, Junie is the most direct path to agentic coding without abandoning the toolchain they already run. ...