If you've codex what does it add over codex's default app? I am confused. Can't you simply ask codex in another tab to just do a code review?
Rule files are in https://github.com/alibaba/open-code-review/tree/main/intern... (in Chinese)
I like the pattern of making a dedicated cli/harness and just build a skill to teach coding agents to use it.
At $work we built a thorough workflow to do security reviews, which is a pure skill to simplify adoption https://www.synthesia.io/post/automating-code-security-revie...
But the user experience is tricky because if we aim for very low false positives the run time for this kind of workflows is too long, it's then hard to justify blocking PRs.
I'm interested in trying this.
We have our own internal automated review which has shown positive results, but I would love to drop it if I find something better.
Code review is currently our bottleneck, so any possibility of better automating it is welcome.
At a kill s@@s hackathon at work, I was able to build something that
uses a node image installs claude code runs a /review-like command puts inline comments to PR deletes old comments when rerunning
OCR seems cool, but overkill, and I'm definitely not using Code Rabbit after their CEO was on here acting snobbish a while back.
Point being AI code review in Git** itself isn't hard to do and can add a lot of value quickly.
A repo with the English translation of each of the rules files, using Google Translate: https://github.com/pramodbiligiri/open-code-review-rules.
The original rules files (in Chinese): https://github.com/alibaba/open-code-review/tree/main/intern...
how does it compare to the red hat ai code review?
https://gitlab.com/redhat/edge/ci-cd/ai-code-review
Has anyone experience with that one?
i did something like this, but somewhat in reverse. you are the one that reviews the code and you instruct AI what to do through code review comments: https://parley.cloudflavor.io.
thinking about it, it would be funny to first run alibaba's tool and then run parley after.
posted it here a few days ago: https://news.ycombinator.com/item?id=48369782 i guess with AI there are too many Show HN now, and i never got any type of feedback.
> After installation, the ocr command is available globally.
Wish they chose a different acronym...
Is not working with gpt5.x models (Unsupported parameter: 'max_tokens' is not supported with this model. Use 'max_completion_tokens' instead.) which is hardcoded. I dont know why this is on the front page. My review-with-codex skill is working just fine, consuming my usage and not API tokens.
Did it review the landing page for it? Because it looks broken on iOS.
We've been using Coderabbit, great deal ($30/mo/dev flat) and finds a lot.
I also built a skill I call `/meta-review` that asks Codex, Cursor, and Gemini to review the code (I use Claude Code). It always finds little things claude & I missed.
Coderabbit just came out with their own PR review UI that's great for big PRs, it groups files together etc. https://www.coderabbit.ai/blog/introducing-atlas-the-first-a...
this is a great tool, until you try reading the rule files, I had find a translator to make heads of it. given that it is CLI tool is great dev the tinker with it at no additional cost.
I recently moved off Cursor's BugBot because it's no longer a flat $40, and I feel a little lost trying to find a viable alternative because there are so many and the pricing kind of sucks for all of them. Curious if anyone has a recommendation.
I wonder how they do against this benchmark (not that I vetted this benchmark... but still interesting to know...)
Not to be confused with Opencode the harness
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Ran it on a subset of 10 of the 50 PRs in this benchmark https://codereview.withmartian.com
- very good recall (~74%, e.g. found a lot of the golden issues)
- not so good precision (~12%, e.g. lots of false positives)
- the precision causes the F1 to tank (~20%, if this stays the same on the full 50 sample it would puts it almost last, even less than Kilo+Grok)