Alibaba Open-Code-Review
Hacker ApprovedRanked 8 of 17 code review tools by recommenders
Open-source multi-agent code review tool people find useful for catching issues early, especially AI-written code. Critics note many false positives and hard-to-read rule files.
Open-source multi-agent code review tool people find useful for catching issues early, especially AI-written code. Critics note many false positives and hard-to-read rule files.
15 people gave an opinion
- recommend it
- 13
- criticize it
- 2
- approval share
- 87%
Recommended in 4 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it carries the badge
- 13 people recommend itNeeds 10 or more, met.
- 6.5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 4 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Useful in everyday use
“We've been dogfooding this for about a year now and we've seen as much as 70% time savings using OCR”
Comment from 16 Jun 2026 on Hacker News “genuinely useful – not as a replacement for human review, but as a way to catch things earlier”
Comment from 29 Jan 2026 in “Forget CodeRabbit Meet Open Code Review, Open Source Multi-Agent Code Review” “I have good experience with using open-code-review”
Comment from 10 Jul 2026 in “Write code like a human will maintain it” - Comment from 5 Jun 2026 in “Alibaba/Open-Code-Review”
- Comment from 26 Jan 2026 in “Open Code Review – Multi-agent code review (Local First but CI-ready)”
Catches many real issues
“genuinely useful – not as a replacement for human review, but as a way to catch things earlier”
Comment from 29 Jan 2026 in “Forget CodeRabbit Meet Open Code Review, Open Source Multi-Agent Code Review” “very good recall (~74%, e.g. found a lot of the golden issues)”
Comment from 5 Jun 2026 in “Alibaba/Open-Code-Review”
Other code review tools people recommend
The four most recommended other code review tools, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| GitHub Stacked PRs | 64 | 63 | 50% | 3 | — | — |
| Gerrit | 60 | 12 | 83% | 12 | — | Approved |
| Graphite code review | 52 | 16 | 76% | 9 | — | Approved |
| CodeRabbit | 34 | 32 | 52% | 11 | — | — |
| Alibaba Open-Code-ReviewThis page | 13 | 2 | 87% | 4 | — | Approved |
What people said
16 of the 18 comments that mention it, newest first. Each links to the original comment.
“I have good experience with using open-code-review”
“We've been dogfooding this for about a year now and we've seen as much as 70% time savings using OCR”
“it provides a huge value to me”
“very good recall (~74%, e.g. found a lot of the golden issues)”
“I think the main value add is all the rules”
“this is a great tool, until you try reading the rule files”
“Is not working with gpt5.x models”
“I would say that recall is the most important metric here though.”
“not so good precision (~12%, e.g. lots of false positives)”
“The tool shared by OP from alibaba certainly does some things ours does not and appears more sophisticated”
“OCR seems cool, but overkill”
“agentic analysis (ideally differentiated, and redundant with discourse -- like Open Code Review)”
“you might like checking out one of the other projects I've worked on which pre-dates Orc”
“it's built specifically for AI code failure modes”
“genuinely useful – not as a replacement for human review, but as a way to catch things earlier”
“it's been genuinely useful”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.