CodeRabbit logoCodeRabbit logo
AgentEnterpriseCustomersPricingBlog
  • Docs
  • Trust Center
  • Contact Us
  • FAQ
  • Reports & Guides
Log InGet a free trial

Products

AgentDiscordPull Request ReviewsIDE ReviewsCLI ReviewsPlanOSS

Navigation

About UsFeaturesFAQSystem StatusCareersDPAStartup ProgramVulnerability Disclosure

Resources

BlogDocsChangelogCase StudiesTrust CenterBrand GuidelinesReports & Guides

Contact

SupportSalesPricingPartnerships

By signing up you agree to our Terms of Use and authorize CodeRabbit to provide occasional updates about products and solutions. You understand that you can opt out at any time and that your data will be handled in accordance with CodeRabbit Privacy Policy

footer-logo shape
Terms of Service Privacy Policy

CodeRabbit, Inc. © 2026

CodeRabbit now available on GCP Marketplace

by
Manpreet Kaur

Manpreet Kaur

December 23, 2024

|

3 min read

Cover image

Share

Share on RedditShare on XShare on LinkedIn

Cut code review time & bugs by 50%

Most installed AI app on GitHub and GitLab

Free 14-day trial

Get Started

Catch the latest, right in your inbox.

Add us to your feed.RSS feed icon
newsletter decoration

Catch the latest, right in your inbox.

Add us to your feed.RSS feed icon

Keep reading

Code is no longer the bottleneck. Understanding is.

Code is no longer the bottleneck. Understanding is.

Coding agents can expand change volume faster than teams can understand it. Review needs a shared path from intent to system behavior to code so people can keep shaping the system.

Close the loop after every merge: the agent that reviewed your PR can now follow through

Close the loop after every merge: the agent that reviewed your PR can now follow through

Post-Merge Actions use pull request context to handle changelogs, documentation, tickets, and other work that should happen after merge.

GPT-5.6 Sol and Terra: Where they fit for coding agents and code review

GPT-5.6 Sol and Terra: Where they fit for coding agents and code review

OpenAI’s GPT-5.6 family includes capability tiers: Sol as the flagship model, Terra as the lower-cost option, and Luna as the fastest, lowest-cost tier.

GetStarted in2 clicks.

Try it for free

Following the recent announcement of CodeRabbit being available on AWS Marketplace, the CodeRabbit team is excited to announce that we are now also available on GCP Marketplace!

Enterprise customers aiming to adopt AI code reviews to deliver higher-quality code more efficiently can now utilize their current spending agreements with GCP to finance CodeRabbit. This enables users to quickly embrace AI for their code reviews without needing to endure extensive budgetary approvals that can often take months, thus delaying the adoption of AI in their software development workflow. Customers can utilize their spending commitments with GCP to purchase CodeRabbit in only a few clicks, allowing the implementation of AI code reviews in days, not months.

Here are the key details:

  • CodeRabbit Enterprise plan is supported on GCP Marketplace.

  • Customers get CodeRabbit’s self-hosted container image that they can host in their own GCP environments.

  • The total purchase amount via GCP Marketplace is eligible to be counted toward customers’ spend commitments with GCP.

  • The minimum developer seat count for a GCP Marketplace purchase is 500 seats.

  • Support available 24/7 and dedicated engineering onboarding assistance are included with every purchase from the Marketplace.

Contact the CodeRabbit sales team (sales@coderabbit.ai) for discounted pricing for bulk purchases in the form of a GCP Marketplace private offer that provides better rates tailored to your requirements.

This represents a major advancement in assisting enterprise clients with the difficulties posed by the growing volume of code produced through AI code generators, even as the code review process continues to be predominantly manual.

With the rapid adoption of tools such as GitHub Copilot, Cursor, and others, the code generation process has been significantly augmented with AI. Companies aiming to quickly deploy features at scale must also enhance their manual code review process by incorporating automated AI code reviews. Here is how CodeRabbit can help such customers:

  1. Merge PRs 2x–4x faster: AI streamlines the initial phase of your code review process and detects bugs or errors in the code considerably faster than manual assessments, enabling you to merge your pull requests (PRs) 2x to 4x quicker and deliver more features with the same team strength.

  2. Fix over 90% of bugs and errors: Ensure no crucial mistakes get to production. Manual evaluations may be susceptible to mistakes and occasionally overlook a significant error, which can be quite costly to rectify in production. By utilizing AI code reviews, you will consistently remain aware of crucial errors and address them during the code review process before they affect any customers.

  3. Enhance code quality: AI code evaluations get better with consistent usage. This elevates your development team’s capabilities by ensuring an expert in all languages is continuously accessible for you directly within your Git platform.

  4. Maintain data privacy: Store your code reviews and evaluations within your own infrastructure. Execute CodeRabbit’s container image in your self-hosted GCP container to maintain full control over data privacy and guarantee alignment with your security policies.

Thousands of customers have embraced CodeRabbit to enhance their code review workflows with AI assistance. You can see their statements on our website.

Ready to implement AI Code Reviews in your software development lifecycle? Reach out to sales@coderabbit.ai and we would love to get you going with CodeRabbit on GCP.