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Open Code Review

Alibaba's hybrid deterministic-plus-agent code review CLI.

alibaba/open-code-review

Maintained by Alibaba

Open Code Review is an AI code review CLI open-sourced by Alibaba, where it served as the internal official review assistant for two years. It reads Git diffs and passes changed files to a configurable OpenAI- or Anthropic-compatible LLM via a tool-using agent that can read files and search the codebase, producing line-level comments. Its design pairs deterministic pipelines (hard constraints on coverage and positions) with the agent, plus a built-in multi-language ruleset. Its README reports higher precision and F1 than Claude Code on a 200-PR benchmark at about 1/9 the tokens, with lower recall.

Pros & cons

Each point cites its sources and says what kind of evidence backs it. A second reviewer tried to refute every claim before it was kept.

Pros

  • DocsComes from Alibaba's internal AI review assistant, which the README says served tens of thousands of developers over two years.[1]
  • DocsIts own benchmark (200 PRs, 50 repos, 1,505 annotated issues) reports higher precision and F1 than Claude Code with the same model, using about 1/9 of the tokens.[1]
  • User reportsA user reports good experience with it, and HN commenters see the curated per-language rule files as the main value.[1][2]
  • MetadataApache-2.0, a single CLI, and frequent releases (v1.13.3, Oct 2026).[1]

Cons

  • DocsLower recall than general-purpose agents by design: the README says it trades recall for precision.[1]
  • User reportsThe rule files were originally written in Chinese; English came later, after a community Google-Translate fork.[1][2]
  • User reportsThe headline benchmark is its own. The only third-party comparison found (run by a rival tool's author) completed just a partial run, 4 of 20 PRs.[1]
  • MetadataYoung as a public project: first published in May 2026.[1]
Best for
Teams that want low-noise, rule-driven AI review comments in CI at modest token cost.
Watch out for
It will miss some issues by design; pair it with a broader reviewer or a human on risky changes.

Assessed Oct 29, 2026 · adversarially reviewedSuggest a correction

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Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Maintained by · 1

  • AlibabaOrganisation

Built on · 1

Sources

  1. GitHub repository
  2. Open Code Review website