Sold by: CodeRabbit
Deployed on AWS
CodeRabbit is the leading AI code review platform that delivers context aware feedback on pull requests. CodeRabbit uses AI to find and fix bugs or errors that can be missed during manual code reviews. It provides a clearer understanding of complex code changes, makes code refactor suggestions to enhance code quality, and helps you release features faster.
4.4
Overview
CodeRabbit is an AI driven platform that transforms the way code reviews are done. It delivers context aware AI powered code reviews reducing the time and manual effort required for thorough code reviews, improving code quality, and enabling teams to ship software faster.
Developers can chat with the review agent within their Pull Requests (PRs), which allows them to provide additional context, ask questions, and use 1 click fixes to act on CodeRabbit's feedback. CodeRabbit learns from you and gets better over time.
CodeRabbit is available both as SaaS and a self hosted container that you can deploy in your own infrastructure. Pricing below is placeholder pricing only. For custom pricing tailored for your team or help with onboarding, please reach out to partners@coderabbit.ai
Highlights
- AI code reviews: merge PRs faster, catch errors that manual reviews miss
- AI as your copilot, from code development to code reviews
- Context-aware AI code reviews reduce manual overhead
Details
Sold by
Delivery method
Supported services
Delivery option
CodeRabbit Self-Hosted
Latest version
Operating system
Linux
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
CodeRabbit Enterprise | Placeholder pricing only. Please contact partners@coderabbit.ai for pricing tailored for your team. | $5,000,000.00 |
Dimensions summary
This listing offers one option: CodeRabbit Enterprise, billed as a contract. The price shown is a placeholder, so you contact the vendor to get pricing built for your team. Because it is a single contract dimension, there are no tiers or instance sizes to compare here. You work directly with the seller to define units and terms. This is the self-hosted deployment path for teams that need to run code reviews within their own environment.
Top-of-mind questions for buyers
You are charged for developers who create pull requests, not every developer in your organization. You can buy any number of seats and assign them to specific developers. Seats can be reassigned at any time. There is no limit on pull requests reviewed or repositories covered.
Yes. The Enterprise path includes a self-hosting deployment option, so you can run reviews within your own environment. It also supports multi-org setups and custom infrastructure needs. Because pricing is a placeholder, you contact the vendor to define units and terms for your team.
No. There is no limit on the number of pull requests reviewed or repositories connected. Reviews work across Git platforms, IDEs, and the command line, and scale automatically across repositories and teams. Rate limits per developer per hour apply and vary by configuration.
www.coderabbit.ai+1
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Vendor refund policy
Subscriptions can be cancelled at any time before the next subscription cycle, and the cancellation will take effect from the next subscription cycle. You may cancel your Subscription through our web app by accessing subscription management, or by contacting CodeRabbit at support@coderabbit.ai
Refunds may be issued at CodeRabbit's discretion.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
CodeRabbit Self-Hosted
Supported services: Learn more
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Fix with the latest code
Additional details
Usage instructions
- Subscribe to the CodeRabbit solution through AWS Marketplace and choose the number of seats for your developers (minimum 500 users). Please reach out to sales@coderabbit.ai for the license key to be used with your self-hosted deployment of CodeRabbit.
- Click on "Continue to configuration" after subscribing to CodeRabbit via AWS Marketplace, choose either an Amazon ECS or EKS container and pull the CodeRabbit image from the AWS Marketplace.
- Follow these instructions to prepare a .env file (you will need the license key provided by CodeRabbit Sales team for this): https://docs.coderabbit.ai/self-hosted/github#prepare-an-env-file
- Use the .env file and host the CodeRabbit image on your ECS or EKS container using these instructions: https://docs.coderabbit.ai/self-hosted/github#host-the-image
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
ALISHETTI S.
Context-Aware AI That Makes PR Reviews More Consistent
Reviewed on Aug 16, 2026
Review provided by G2
What do you like best about the product?
I like its AI intelligence and context-aware the most. It understands dependency across files, highlights potential bugs and provides practical suggestions directly in PRs which makes the reviews fat and more consistent
What do you dislike about the product?
Some reviews can be over delayed, so I sometimes spend time filtering less important suggestions. the paid plans can also become expensive for large teams, although the free option is useful for trying it and experiencing and evaluating it
What problems is the product solving and how is that benefiting you?
CodeRabbit reduces the manual effort involved in code reviews by automatically checking PRs, identifying bugs and suggesting fixes. Its integrations with development tools AI based analysis hel improve review quality and delivery speed
Ranganath D.
Exceeded My Expectations
Reviewed on Aug 16, 2026
Review provided by G2
What do you like best about the product?
comprehensive, human-like pull request reviews that save time by catching subtle bugs, security flaws, and logic issues early
What do you dislike about the product?
focus on AI noise, strict or unclear usage caps, and occasional lack of deep contextual accuracy
What problems is the product solving and how is that benefiting you?
solves the code review bottleneck caused by the massive surge of AI-generated code
Jatin K.
CodeRabbit Understands Our Codebase and Conventions Really Well
Reviewed on Aug 15, 2026
Review provided by G2
What do you like best about the product?
CodeRabbit can reason about your codebase, dependenciea , coding conventions, linked issues, previous decision and tooling result
What do you dislike about the product?
It can sometimes be too nitpicky- flagging minor style or edge- case issues that aren't actually important, which can create review noise and distract from the changes that genuinely matter
What problems is the product solving and how is that benefiting you?
Reduces the burden of manual code reviews by automatically reviewing pull request, it gives developers instant, ai powered feedback, catches issues before they reach production and saves reviewer's time
E-Learning
Faster, Easier Code Reviews with Practical Bug-Spotting Suggestions
Reviewed on Aug 15, 2026
Review provided by G2
What do you like best about the product?
CodeRabbit makes code reviews faster and easier for me. I especially like how quickly it flags potential bugs, offers practical improvement suggestions, and supports keeping the codebase clean and high quality.
What do you dislike about the product?
Some suggestions can occasionally feel too general or still require manual verification. It would be more helpful if CodeRabbit provided a bit more context behind its recommendations and did a better job of prioritizing the most important issues.
What problems is the product solving and how is that benefiting you?
CodeRabbit helps cut down the time I spend on manual code reviews by flagging bugs, potential issues, and areas for improvement early in the process. As a result, development moves faster, and it’s easier for me to maintain strong code quality.
Aditya A.
Insightful Code Review Feedback That Catches Bugs and Improves Code Quality
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
What I like most about CodeRabbit is that it gives useful feedback directly during the code review process. It catches potential bugs, edge cases, and code quality issues that are easy to miss in a manual review.
I also like that the comments usually include an explanation of why something could be improved rather than just pointing out the issue. It helps me understand the problem and make better changes without having to spend as much time going through the code manually.
I also like that the comments usually include an explanation of why something could be improved rather than just pointing out the issue. It helps me understand the problem and make better changes without having to spend as much time going through the code manually.
What do you dislike about the product?
One thing I dislike is that some of the suggestions can be a little too cautious, so not every comment is equally useful. Occasionally, I need to review the context myself to decide whether a suggested change is actually necessary.
There can also be some noise on larger pull requests, where several comments cover minor code-style or optimization points. Overall, I find the feedback useful, but I still prefer to treat it as an additional review layer rather than replacing a human code review.
There can also be some noise on larger pull requests, where several comments cover minor code-style or optimization points. Overall, I find the feedback useful, but I still prefer to treat it as an additional review layer rather than replacing a human code review.
What problems is the product solving and how is that benefiting you?
CodeRabbit helps solve the problem of catching issues that can easily be missed during manual code reviews. It automatically reviews pull requests and points out potential bugs, edge cases, and areas where the code could be improved.
This saves me time because I don't have to manually inspect every part of a pull request before looking at the more important changes. It also gives developers an additional layer of feedback before merging code, which helps improve code quality and reduces the chances of small issues reaching production.
This saves me time because I don't have to manually inspect every part of a pull request before looking at the more important changes. It also gives developers an additional layer of feedback before merging code, which helps improve code quality and reduces the chances of small issues reaching production.