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
New
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
Helpful?
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.
Similar products
CodeAnt AI delivers AI-powered code review that analyzes every pull request with full codebase context, learning from your team's past PRs to enforce best practices. Cuts code review time by up to 80%. SOC 2 Type II compliant.
CodeRabbit (SaaS) is the industry leading AI Code Review platform that frees up software developers from lengthy code review cycles. CodeRabbit works with multiple foundational LLMs to automate code reviews, and helps you merge PRs 50% faster with 50% fewer bugs.
Launch a private AI competitor research and web monitoring server on AWS. Run browser based research, schedule recurring competitor scans, detect meaningful changes, and export executive reports using Amazon Bedrock. Code Creator charges apply for the private AI competitor research platform, automated browser research, recurring monitoring and change detection, Competitive Intelligence Command Center, executive reporting, automated HTTPS first boot configuration, and AWS Marketplace AMI engineering.
Code Creator Weaviate Vector AI Server deploys Weaviate Community Edition on Ubuntu as a ready-to-launch self-hosted vector database for semantic search, RAG, embeddings storage, and AI application backends. It exposes REST on port 8080 and gRPC on port 50051, and supports secure API based access through official client libraries and standard Weaviate interfaces. Note: this AMI provides the server backend only, so customers should plan to connect using their own API calls, client libraries, or external applications. This is a repackaged open source software product wherein additional charges apply for Code Creator secure first boot configuration, Docker based deployment, persistent storage configuration, REST and gRPC service setup, and AWS Marketplace AMI engineering. Code Creator Weaviate Vector AI Server provides a ready to launch self hosted vector database for semantic search, RAG, embeddings storage, and AI application backends.
Customer reviews
Arun S.
Thorough Code Reviews Without Slowing Down Development
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
What I like best about CodeRabbit is how it makes code reviews more thorough without adding much manual effort to the development workflow. It reviews pull requests in context and provides clear, actionable feedback on potential bugs, code quality, maintainability, and possible edge cases. I particularly like that the suggestions are explained rather than simply flagging an issue, which makes it easier to understand why a change is recommended. The PR summaries are also useful for quickly understanding what changed in a larger pull request. Overall, it acts like an additional pair of eyes during development and helps catch issues earlier while keeping the review process efficient.
What do you dislike about the product?
The main limitation is that some of the suggestions can occasionally feel overly cautious, particularly on straightforward or highly project-specific changes. There are times when I need to review the context of a recommendation before deciding whether it is actually relevant to the codebase. It would be helpful if the AI could become even more precise about project-specific conventions and reduce lower-priority suggestions. That said, the feedback is generally useful and the ability to review and act on suggestions directly makes this a relatively minor issue.
What problems is the product solving and how is that benefiting you?
CodeRabbit helps solve the problem of spending too much time manually reviewing pull requests and checking changes for issues that can be easy to overlook. It provides an additional layer of automated review by analyzing code changes, highlighting potential bugs, maintainability concerns, and edge cases, and explaining why certain changes may need attention. This is especially useful for larger pull requests where reviewing every change manually can be time-consuming. It helps me get an initial quality check much faster and focus my own review time on the issues that require deeper judgment.
Recommendations to others considering the product:
To enhance the effectiveness of CodeRabbit, it would be beneficial to incorporate more project-specific learning capabilities. This could involve training the AI to better understand unique coding conventions and reduce unnecessary suggestions. Additionally, providing an option for users to customize the level of feedback detail could further streamline the review process.
Krishnakant R.
Helpful for checking PRs during college group projects
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
Whenever we push code for our college group projects, it automatically drops a comment on the GitHub pull request with a quick summary of what was actually changed. It catches silly mistakes like forgotten debugging prints, missed null checks, or syntax oversights before my teammate merges the branch. It saves us from having to manually explain every commit to each other over WhatsApp or calls.
What do you dislike about the product?
Sometimes it nitpicks too much on minor formatting or variable names that don't really matter for simple student assignments. If you push a large commit with multiple files, the comment list gets pretty long and takes a couple of minutes to read through.
What problems is the product solving and how is that benefiting you?
It keeps broken code from getting merged into our main branch right before assignment submission deadlines. It acts like a quick second check on our code so obvious logic bugs don't end up in the final project demo.
Recommendations to others considering the product:
Consider adjusting the sensitivity of the tool to focus on more critical issues, especially for student projects where minor details might not be as crucial.
Soumyaranjan N.
Rule-Based PR Reviews with Helpful Suggestions That Improve Over Time
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
The best part of CodeRabbit is that whenever there is a pull request it quickly scans the code changes against the previous version and applies the team’s rules to those updates. If it finds any faults, it highlights them clearly. Another strong point is that it doesn’t just point out issues; it also offers suggestions based on the project’s requirements. Over time, it seems to improve and adapt to my code-writing style, which really impressed me. It also integrates with GitHub, so on every pull request it checks the changes.
What do you dislike about the product?
Sometimes it doesn’t understand what my project needs and ends up generating the wrong code, which then causes bugs in the project. Other times, even when it tries to correct the code itself, it still produces broken code. One feature is the sequence diagram, but it’s useless for me. I also really dislike the support: it’s only available through email and chat, and there’s no quick Despite that other are well and good.
What problems is the product solving and how is that benefiting you?
CodeRabbit solves the problem of spending too much time manually reviewing pull requests and trying to identify bugs or potential issues in code changes. It automatically reviews my pull requests and provides feedback on code quality, possible bugs and areas that could be improved. Because it checks the code line by line. I do not need to review every line myself which saves me a lot of time. It catches bugs before they get merged into my existing code and it also points out when a change might affect other parts of the code so I can understand how my project will look after the update. It basically works like giving feedback.
Recommendations to others considering the product:
To improve CodeRabbit, it would be beneficial to enhance its understanding of different project requirements and ensure that the code it generates is always accurate and functional. Additionally, expanding the support options to include phone or video calls could greatly enhance user satisfaction. Improving the sequence diagram feature to make it more intuitive and useful would also be a significant improvement.
Pranshu .
Fast, Context-Aware Reviews with Clear, Actionable Feedback
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
CodeRabbit delivers fast, context-aware reviews that help catch bugs and edge cases, while keeping the feedback clear, actionable, and easy to follow.
What do you dislike about the product?
At times, the reviews feel a bit overly cautious and end up offering suggestions that don’t really seem necessary, which adds some extra noise.
What problems is the product solving and how is that benefiting you?
CodeRabbit helps me catch bugs, edge cases, and code-quality issues early, which reduces manual review effort and makes development faster and more reliable.
Dheeraj J.
Helpful, Context-Aware PR Reviews with a User-Friendly GitHub UI
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
CodeRabbit’s review comments are genuinely helpful. They surface real issues and suggest meaningful code improvements. When I’ve already addressed something, or when I believe a point doesn’t require any code changes, I can simply leave a comment explaining why I think CodeRabbit’s suggestion doesn’t need an update. It actually reads what I wrote, understands it, replies back, and resolves the comment on its own. The best part is that it remembers this context and doesn’t keep repeating the same comment when I push new commits to my PR. Also, the UI of this bot integrated to our GitHub repositories is very user friendly and customizable.
Overall, this has been much more helpful than other AI review bots I’ve used so far.
Overall, this has been much more helpful than other AI review bots I’ve used so far.
What do you dislike about the product?
The feedback from CodeRabbit can be very noisy if it's not tuned. And the configurability is limited too.
What problems is the product solving and how is that benefiting you?
CodeRabbit helps make code reviews faster and more thorough by catching potential issues, suggesting improvements, and summarizing PRs before or alongside human review. The GitHub integration is simple to set up and fits naturally into our existing workflow, while IDE and MCP integrations make it useful during development as well.
It also maintains context across review conversations and new commits, which avoids repeatedly raising issues that have already been addressed. The main downside is that feedback can sometimes be noisy without tuning, and I’d like more configurability, but overall it saves me time and improves the quality of my reviews.
It also maintains context across review conversations and new commits, which avoids repeatedly raising issues that have already been addressed. The main downside is that feedback can sometimes be noisy without tuning, and I’d like more configurability, but overall it saves me time and improves the quality of my reviews.