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EvaluationExperimental

kotlin-swe-bench

by Kotlin

Kotlin SWE benchmark suite for evaluating coding agents

Python
Updated Sep 2, 2026
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Summary

Provides a Kotlin software-engineering benchmark for evaluating coding agents on realistic SWE tasks. Defines task suites, test harnesses, and scoring to measure correctness and code quality across agent submissions. Focuses on reproducible, language- and task-specific evaluation that highlights strengths and failure modes of coding agents. This repo aligns with planning best practices in benchmarking task suites.

Why It Matters

As agents are asked to write and modify production code, comparable, domain-specific benchmarks are essential to understand agent reliability and failure modes. This repo gives practitioners a consistent way to compare coding agents' outputs and spot patterns that matter for agent track record and trust. Until we adopt standardized SWE benchmarks, evaluations mix incomparable tasks and noisy signals—this fills that gap for Kotlin-focused engineering tasks. Guardrails help ensure safety and reliability across evaluations Guardrails Pattern.

Best For

Researchers and teams benchmarking coding agents on Kotlin software-engineering tasks and comparing agent performance reproducibly. This work supports scalable evaluation workflows and agent management Planning Pattern and ties into registries and lifecycle management using the Agent Registry Pattern.

Use Cases

  • Comparing multiple coding agents on the same Kotlin SWE tasks to establish an agent track record
  • Identifying common agent failure modes in code generation and repair for Kotlin projects
  • Running reproducible benchmarks to validate improvements from model or prompt changes
Topics
agent-evaluationai-agentskotlinswe-bench
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Keywords
agent-evaluationkotlincoding-benchmarksagent-to-agent evaluation