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.
CodeRabbit brings a different perspective to the code review process and finds errors and bugs often missed by the human eye. Developers can chat with the bot within the code review workflow, which allows them to provide additional context, ask questions, and use 1 click fixes. CodeRabbit learns from your suggestions and gets better over time.
CodeRabbit seamlessly integrates with GitHub and GitLab repositories, performing continuous, incremental reviews for each commit within a pull request (PR) or merge request (MR). Review feedback is sent back to the pull requests and can be directly committed thereby significantly reducing human effort during code review process.
CodeRabbit is available both as SaaS and a self hosted container that you can deploy in your own infrastructure. For more information or help with onboarding, please reach out to support@coderabbi.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
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
---|---|---|
CodeRabbit Enterprise | Self-Hosted delivery, per-user pricing | $15,000.00 |
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 contact@coderabbit.ai
Refunds may be issued at CodeRabbit's discretion.
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Legal
Vendor terms and conditions
Content disclaimer
Delivery details
CodeRabbit Self-Hosted
- 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
Latest container version with bug fixes and minor updates
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.
Customer reviews
Good PR assistant
CodeRabbit has been consistent and has saved some bad code from going to prod many times
- easy to implement
The best assistent for open-source projects
- It provides good quality code reviews, detecting bugs, not optimal implementations, missing tests, and suggests improvements
- It learns from feedback and communication with humans and does next reviews better
- It saves PR reviewers a lot of time by checking all the prerequisites.
- It still makes mistakes, and even after I ask to verify the suggestion or the fix, it is going to post, before the posting, it still doesn't do that, so we need to run another iteration of our discussion to verify it and correct if needed.
Faster turnaround on code review
The automation here is great! Far deeper than I expected it to. Comittable comments are lovely.
Having someone over my shoulder nitting something that I forgot or just set as a placeholder value is really nice.