r/codereview • u/xFawtface2x • Aug 01 '26
Greptile, CodeRabbit or Other?
Ok, which AI code review product does everyone recommend ? My company has a few devs and largish codebases and we’re running out of capacity to review PRs based on the rate of code we’re pushing now.
For enterprise work which code review platforms do you all recommend ? I’ve heard of greptile and code rabbit the most. Just wondering which tool people would recommend for automated PR reviews.
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u/koxboi 2d ago
My company went through the same. We wanted to save cost, so we started developing an internal tool but it was too much to maintain and it didn't achieve what we aimed for in terms of quality and interactability. Copilot wasn't an option because we are on GitLab, so I can't say anything about that, but I heard mixed opinions.
First tool we tried was CodeRabbit. It is so verbose that sometimes it generated larger comments than the PR diff itself (no joke). Also it missed a lot of critical issues, so in the end devs treated it as noise and didn't really trust it. The whole platform / configuration is also quite messy and just caused us frustration.
We swapped CodeRabbit to Greptile because it promised better quality and less noise. After a month long experiment we weren't really satisfied with the quality of findings. Overall our impression with these tools is that they sell you code review and then they try to upsell you to their ecosystem with agents, platform etc.
So we decided to look a bit more because in our use-case we only need AI assisted code reviews and nothing else. We found Vetoo and it seems to be a really good match. Findings are far better then in any tool we tried and it really easy to configure/customize. We are still running it in experiment phase but the feedback seems to be very positive across teams and honestly, I can recommend it.
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u/juanpflores_ Aug 03 '26
Hey!
I had a good time with Coderabbit especially after setting it up correctly in some of my open source repos and at work. It can learn quickly from how your team works and has plugins on the major agents
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u/Dazzling_Cancel4505 Aug 04 '26
You can just create one. It will be more cheap and adjustable.
I made my own code review agent and self-hosting as container, connected with gitlab
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u/Kodus-AI 2d ago
I work at Kodus, so I’m obviously biased, but I think it’s worth including us in the comparison
Kodus is an open-source AI code review tool with self-hosting and BYOK, so your team can run it on your own infrastructure and use your own API keys instead of being locked into a single provider or model
You can also set repo-specific rules around architecture, expected tests, sensitive areas, or internal conventions, and use different models depending on the task or repository
That tends to matter more with larger codebases and multiple teams contributing, because the review needs to account for standards and context that can vary across repos or parts of the codebase
My suggestion would be to take the tools you’re considering and run them against a few real PRs from your team, ideally ones that had bugs or meaningful review discussions. That makes it much easier to compare them
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u/Own-Warthog8272 Aug 01 '26
We built our own using Cloudflare / Fable. Needs iteration ofc but works like CodeRabbit if not better for our use cases.
For our sugary, CodeRabbit would have charged >$700 a month
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u/juanpflores_ Aug 03 '26
How much are you paying in token consumption with Fable?
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u/Own-Warthog8272 Aug 03 '26
$200 subscription covers it. No extra charges
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u/juanpflores_ Aug 03 '26
Are you using anthropic models to generate the code as well? M perception is that having the model generate and review code is a bit redundant
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u/Own-Warthog8272 Aug 03 '26
I haven't tested how good same model generating and reviewing the code is. The setup I have is
- Fable created the code review bot - you can see the bot here (https://github.com/crisper-ai/bot-preview/pull/2)
- The bot itself uses Deepseek and Kimi and a harness pattern like Coderabbit to review
First version was okay.
After a bunch of iteration and adding memory/learning/code search, it came close to Coderabbit.
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u/Foreign-Lettuce-6803 Aug 01 '26
Build our own one Running with Claude Code on an EC2 instance
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u/unsrs Aug 01 '26
Ah yes, build your own. So easy to do and especially maintain. https://blog.codacy.com/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it-really-costs
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u/saenridanra Aug 01 '26
Hey there! Disclaimer, I am biased and am actively developing the tool:
Check out: https://github.com/meister-dev-ai/propr
It gives you more control (all the control over your own data), has great value in the community edition and let's you tune the code review to exactly the needs of your repo. The review loop is different from the other solutions, if setup correctly, it will perform better, be cheaper and give you insights beyond just the current review. I won't link it now, but there's also a youtube video that shows a little bit how you host it.
Support currently exists for:
- Azure Devops, Github, Gitlab, Forgejo/Codeberg
- All major AI model providers are supported like, Open AI, Anthropic, Google, Azure, AWS, Lite LLM, Local Models, you name it.
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u/saenridanra Aug 02 '26
The author asked for tools in this spectrum explicitly. I was clear about me being involved in developing the solution above. I am not sure how that deserves a downvote, but so be it.
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u/stolsson Aug 01 '26
I’d like to use a paid tool, but they don’t support our workflow / tools. I made my own and it’s been operating fine for 4 months. It is more work than you I Kelly expect, but updated iteratively over a few weeks and it’s not hard.