---
title: "ReviewBench: An open benchmark for AI code review"
slug: "github-startet-reviewbench-als-offenen-benchmark-fuer-ai-code-reviews"
date: 2026-10-05
category: developer
tags: [agents]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/github-startet-reviewbench-als-offenen-benchmark-fuer-ai-code-reviews
---

# ReviewBench: An open benchmark for AI code review

**Published**: 2026-10-05 | **Category**: developer | **Sources**: 1

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## TL;DR

We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.

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## Summary

We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics. The post ReviewBench: An open benchmark for AI code review appeared first on The GitHub Blog.

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## Why it matters

We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.

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## Key Points

- We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.
- The post ReviewBench: An open benchmark for AI code review appeared first on The GitHub Blog.

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## Nauti's Take

For small teams, ReviewBench is most useful as a selection test: run your preferred review agents against pull requests from your own stack and compare detection rates, false positives, and comment quality. Check how GitHub defines ground truth and production metrics before treating benchmark scores as a reliable buying signal.

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## FAQ

**Q:** What is ReviewBench about?

**A:** We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.

**Q:** Why does it matter?

**A:** We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.

**Q:** What are the key takeaways?

**A:** We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.. The post ReviewBench: An open benchmark for AI code review appeared first on The GitHub Blog.

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## Related Topics

- [agents](https://news.ainauten.com/en/tag/agents)

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## Sources

- [ReviewBench: An open benchmark for AI code review](https://github.blog/ai-and-ml/github-copilot/reviewbench-an-open-benchmark-for-ai-code-review/) - GitHub Blog AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-10-06*