alibaba on GitHub

open-code-review

Read the source on GitHubProject homepage

What it does

An editorial selection.

AI code-review CLI that Alibaba ran internally for two years. Combines deterministic analysis with an LLM over git diffs.

Why it is listed

Battle-tested at scale and works with any model endpoint. Easy to drop into CI.

GitHub describes it as: Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.

Repository at a glance

Stars
48,606
Forks
3,558
Open issues
139
Merged PRs
630
Commits, last 30 days
39
Stars, 7 days
unavailable
Stars, 30 days
unavailable

Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.

History

History: 2 observations, 2026-10-27 to 2026-10-28. Dots are observations; lines connect consecutive daily observations only.

Project details

Language
Go
Licence
Apache-2.0
Created
Last push
Category
Security
Observed

Explore and get started

Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by alibaba.

Development context

These are observations of work in the repository. They do not establish quality, security or support commitments.

Total commits on default branch
815
Open pull requests
219
Closed issues, lifetime
424
Median time to close an issue
18.7 days
Median time to merge a pull request
6.0 days

Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.

Other projects in Security, ordered by shared topics and then name. These are discovery links, not equivalence claims.

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