Introducing the Kotlin Benchmark for AI Coding Agents - The JetBrains Blog

The Kotlin Benchmark, released by JetBrains, is a new evaluation framework designed to assess AI coding agents on Kotlin software engineering tasks, offering a more realistic measure of their performance in end-to-end tasks, from issue reading to solution validation. This benchmark aims to provide a credible, public means for developers to evaluate and compare different AI coding agents on tasks sourced from active open-source repositories, focusing on repository-level challenges and requiring agents to navigate project contexts to generate functional solutions. The initial iteration of the benchmark, which is based on the SWE-bench methodology, features 105 tasks, with the top-performing AI agent, Claude Code with Opus 4.7 xhigh, resolving 85.71% of them. JetBrains plans to expand the benchmark to include broader Kotlin ecosystem coverage, additional evaluation metrics, and more agent and model setups, thereby offering a continuous quality measurement pipeline for AI coding agents. The benchmark is built on the open-source Multi-SWE-bench infrastructure, and all datasets and test harnesses are publicly available, allowing for community engagement and feedback.

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