i've taught my dot to deep scan codebase with @coderabbitai and it merged 67 PR in one night on it's own. (still going)
CodeRabbit on X
The largest group here, 44 people, says CodeRabbit works well and catches edge cases their coding models miss, with noisy findings and review credits running out the biggest complaints. Greptile is the comparison people keep making, and the questions ask what its PR counts delivered.
First written 27 Oct · what changed · from 187 posts by 149 people
Tracking posts that say “@coderabbitai” or “coderabbit”
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as of 27 Oct · checked once a monthFirst written 27 Oct. When what people say changes, it shows here.
Tone· 97 posts from 80 people· written 27 Oct
How do people feel about CodeRabbit?
Most people here are positive in plain terms: 44 of 80 people say it works well and catches things, with 18 more openly enthusiastic. Against that sit 12 who call it one useful reviewer among several, and 8 who think it finds too little to be worth it.
The good reports are specific rather than superlative. Users say it finds edge cases and logic errors that their coding model missed, and one reports a memory leak it caught during a nightly review. Several recommend it in reply to "what should I use" threads, and one describes it as an independent verification layer they could not process 200+ PRs a day without. Free reviews for open-source repos come up often, and one user says they pay for it yearly.
The pragmatic group uses it as a stage: local checks first, CodeRabbit after the push, loop until findings drop to near nothing, with Codex, Greptile or a Claude subagent alongside. One says a review loop settles once "all comes back as LGTM".
The disappointed say it cannot compete with their own repeated Opus or GPT review rounds, or call it a "slop machine". The undecided are mostly testing it — a weekend cleanup, or pairing it with Devin.
- Works well48
- Loves it19
- Good, but one layer only13
- Disappointed9
- Undecided or trying it8
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I want to give a shoutout to @coderabbitai for letting me do free code reviews on open source github repos. Claude codes well, but coderabbit always finds the edge cases.
复刻了 @yetone 的 magpie 工作流,用在 Readest 上跑了一天,效果很好: link 思路来自 yetone 的分享和 @wquguru 的拆解:Claude Code + Opus 5.5 并行跑 3 个 /loop: 1. triage-github:处理最近 3 天的 issue,先复现、先写一个会失败的测试,再修 2. watch-social:盯 X /
lmfao what? My first instance of this was getting coderabbit for my team a year and a half ago.. once coding plans became the norm we did all the things local pre push.. Now its /ship <thing> * ticket * dev * test * debloat * QA mobile/web * push * coderabbit. * fix * repeat
code review is only becoming more valuable. please kill coderabbit for me :)
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Pain points· 42 posts from 39 people· written 27 Oct
What do people complain about with CodeRabbit?
Noise is the biggest complaint: 10 of 39 people say the findings and notifications come at them faster than they can act, with review limits a close second at 8. Slowness and trust worries are level at 5 each, and price, missed bugs and a clunky console sit level behind them at 4 people each.
The noise complaints are about volume and shelf life. Users describe a rolling issue list that grows an unrelated item with every commit, fix loops that never close, security passes that end in thirty comments about a dummy API key in a test fixture, and notification spam. The "Fix comments" feature gets one specific knock: it fixes everything in a single session and pushes one commit, which makes the human review different.
On limits, one user calls the advertised 8 reviews an hour a "plain lie" once 72 a week trips fair usage; another says refills are calculated on a weekly average; others run out of credits on a paid plan or hit rate limits mid-iteration. The free trial's auto-renew small print catches someone.
Slowness is reported as slow or stalled reviews, a 500 error when changing plans, and one benchmark putting a review at 228 seconds against 96 for a home-built reviewer.
The trust worry is that the review bot now prompts agents to install it locally. Missed bugs appear as a user's test of six planted bugs, where they say it found 42%.
- Noisy findings and notifications10
- Limits and credits run out10
- Errors and slowness5
- Security and trust worries5
- Too expensive4
- Misses real bugs4
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@coderabbitai is great. But what costs ENORMOUS amount of time is the low rolling issue list it generates. It generates x issues. You fix them and commit. Next commit there is suddely an extra issue unrelated to original x or the fixes to them. And on and on it goes.
Thanks @coderabbitai for ridiculous usage limits. It seems like 8 reviews / hour is just plain lie, as doing 72 reviews / week breaks "fair usage policy".
coderabbit running security passes usually just ends with thirty comments warning you about a dummy api key inside a unit test fixture.
Any good & free PR review bots out there for OSS projects? We are using @coderabbitai but they decided to start adding prompt injections so your agent will install their tool locally and use that to check. In the meantime we've had to include prompt injection mitigation in our CONTRIBUTIONS.md.
実バグ6本を仕込んで比べたとき、検出率はClaude Codeのレビューが94%、Codex CLIが77%、CodeRabbitが42%でした。 git履歴を見ないと分からない1本は、4手法とも見逃しました。
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Alternatives· 25 posts from 22 people· written 27 Oct
What are the alternatives to CodeRabbit?
8 of 22 people weigh it against Greptile, and that split is not one-sided: some say Greptile is faster and simpler, others run both for a second set of eyes. Codex is the next name at 4, and 3 say a reviewer they built in-house does the job.
Greptile is the comparison people actually make. One user who had Fable evaluate both over 95 real PRs says each found a significant number of unique, material defects, and then that Greptile was "materially faster". Another calls Greptile more intuitive and simpler, especially for no-coders; another says it "ate CodeRabbit". Others keep both: one runs them on different PRs so whichever one has hit its rate limit hands over to the other.
Codex comes up as a replacement: a long-time free user says Codex's automatic PR review now takes over that work, and another switched to Codex to reduce spend. The in-house argument is about tailoring and cost — one user benchmarks their own reviewer at 96 seconds and $0.05 a review, with 73% of bugs found, against CodeRabbit's 228 seconds and 59%.
Single mentions go to Devin, Codacy, and a rival that drafts patches and runs tests.
- Greptile11
- Codex4
- Own in-house reviewer3
- Claude's own review2
- Open-source self-hosted reviewers2
- Devin1
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I asked Fable to evaluate @coderabbitai vs @greptile from the past two weeks of reviews (95 PRs) on mbx/mr-boxington TLDR both find a significant amount of unique, material defects; now I'm curious whether it would be worth adding a third
I'll be transparent here, Greptile ate CodeRabbit I genuinely haven't seen many people using CodeRabbit lately, especially in production environments.
I have to shout out to u guys at @greptile . Your product is so fkin good, it just blows my mind. I started off with Coderabbit, but Greptile is so much more intuitive and simple to use, especially for no-coders. I just love it. Your new tiers (base, plus, apex) do also make
Codex 的 PR 审查功能最近升级了,我居然才发现。 以前一直免费用 CodeRabbit 自动审查 GitHub PR,现在 Codex 也可以直接接管这部分工作了。 连接 GitHub 仓库,开启 Automatic review,之后就能自动审查 PR,检查潜在 Bug 和安全问题,默认只挑高优先级问题标出来,并直接留下 Review 评论。 已有
Well said. Codex now reviews PRs that Claude writes, instead of CodeRabbit and Greptile, to reduce spend. Monitoring that!
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Questions· 24 posts from 20 people· written 27 Oct
What do people ask about CodeRabbit?
The most common question is what the 5,000-PR week actually delivered, asked by 5 of 20 people; configuration is next at 4, and 3 ask whether the claim of halving review time holds. The rest are smaller: what bugs it catches, which plan to pick, what the CLI does, and what the security scan reads.
The PR-count questions are sceptical rather than hostile. People ask what the 5,000 PRs were for, which features shipped in them, and "who reviewed those 5K PRs"; one says a number that size makes them question quality and intent, and another says the real test is how many reviews caught bugs that would have shipped.
The config questions are practical: which setting wins between a repo .coderabbit.yaml, a central config and org settings, and how inheritance and merging resolve; whether the tools can take context from outside the repo; whether the review modes are "terse / normal / pedantic".
On the time claim, people ask whether it holds for edge-case tests and whether it cuts time on PRs under 100 lines or mainly big ones. Smaller asks cover which bug types it finds first, whether to add it on top of a Codex × Claude cross-review, which plan was used, whether the CLI cuts rate limits, and whether a private repo must be shared for a security audit.
- What did those 5,000 PRs deliver?5
- Does it really halve review time?5
- How do I configure it?4
- What kinds of bugs does it catch?2
- Should we use it?2
- What plans and tiers are there?2
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Genuinely curious what those 5,000 PRs were for? What did they do?
Not trying to be antagonist but curious as to what user value was delivered in those 5000 PRs, and how much more could be delivered with 50k PRs. It's just an odd metric to celebrate when it gets to a certain point I feel. At the moment, whilst impressive, these kinds of
Volume is one thing, but the real test is how many of those reviews actually caught bugs that would've shipped.
Which @coderabbitai setting actually wins when you have a repo .coderabbit.yaml, a central config and org settings? In other words: how configuration inheritance works 1. Without it, only the highest-priority source is used. Nothing merges 2. Add inheritance: true and the
Does it cut review time for PRs under 100 lines too, or mainly the big ones?
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Wishes· 5 posts· written 27 Oct
What do people want from CodeRabbit?
The wishes here are five separate asks from 5 people, with no theme shared by more than one: findings that expire, hard blocks on install commands, secrets stripped from tickets, escape from GitHub's throughput cap, and review tuned to the paths a team cares about.
On findings, one person wants each one to include a concrete failing case and point to the exact diff, and wants findings marked stale automatically once the patch is revised, so an old approval does not follow new code.
On installs, one person asks for hard denies in the review agent's settings for npm i, pip install and curl | sh, arguing that a note in CONTRIBUTIONS.md is a "polite ask" that agents skip.
On secrets, one wants emails and tokens redacted from the ticket body before the agent ever reads it, or "the support inbox just moved into the model logs".
Two more are about scope: one suggests leaving GitHub so throughput stops being capped by the platform, and one says noise dropped a lot once they told the reviewer which paths are test-only and to stay quiet there unless a value leaks into a build.
- Concrete findings that expire1
- Block install commands1
- Redact secrets from tickets1
- Don't be capped by GitHub1
- Tune the noise to the team1
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Independent review is easier to act on when each finding includes a concrete failing case and points to the exact diff. It would also help to mark findings stale automatically after the builder revises the patch, so old approvals don’t follow new code.
a note in CONTRIBUTIONS.md is a polite ask, Wing. agents skip asks. i'd add 3 hard denies to the review agent's settings: npm i, pip install, curl | sh. then a bot comment on a PR can ask all it wants. nothing lands on the box.
Useful if on-call is drowning. One thing I'd add: redact emails and tokens from the ticket body before the agent sees it, otherwise the support inbox just moved into the model logs.
Maybe it's time for you guys to make the leap off GitHub to keep the throughput from being capped by the platform
The fixture key thing is the classic one. What helped us was telling the reviewer which paths are test-only and to stay quiet there unless the value actually leaks into a build. Noise drops a lot.
In their words
How do people talk about CodeRabbit?
The phrases people use most, counted once per person.
- 1“deep scan”4
- 2“rate limits”3
- 3“open source”3
- 4“edge cases”2
- 5“final check”2
- 6“security scan”2
- 7“hit the limit”2
- 8“bot comment”2
- 9“catches the bugs”2
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Also in AI code review
- Greptile−34%Enthusiastic users lead the conversation, crediting Greptile with catching real bugs and being configurable, while the persistent complaint is the bill as agents open more PRs; the questions centre on choosing between it and CodeRabbit.212 posts / 7d
- Qodo+38%Qodo's reception is led by fans crediting it with catching cross-file bugs a diff-only review misses; a smaller group likes it but keeps a human in the loop, and an equal-sized group ranks it behind a rival.71 posts / 7d
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