Gemini Code Assist brings enterprise-grade AI code reviews to GitHub

For engineering teams, a critical DORA metric is "Lead Time for Changes," which measures the time from a code commit to its deployment in production. The 2025 State of AI-Assisted Development Report underscores that manual code review and approval processes are a significant bottleneck, negatively impacting this metric. The report reveals that a combined 60.2% of organizations have a lead time for changes of over a day, with 31.9% taking between a day and a week, and 28.3% taking between a week and a month.  This delay is often because senior developers are consumed by manual code reviews, where they enforce coding standards and identify anti-patterns.  

The challenge for IT leaders is clear: how do you remove this review bottleneck, especially when your code is spread across complex environments like GitHub Enterprise Cloud or on-premises servers?

Today, we're introducing a solution to that challenge. We are launching a public preview of Gemini Code Assist on GitHub for enterprise customers, providing you with AI powered code reviews to meet the needs of enterprises.

Works where you work – now with GitHub Enterprise Support

You can't fix a bottleneck you can't reach. Our Gemini Code Assist on GitHub app, which is targeted for individual developers and OSS maintainers, was limited to github.com repositories. This enterprise version is built to support the most common code management options enterprises use from Github - from GitHub Enterprise Cloud (GHEC) to privately-hosted GitHub Enterprise Server (on-premises).

Through a secure integration, this feature is the "key" that unlocks code-review automation for your entire enterprise, regardless of which GitHub source code management option you use.

Manage at scale with organization-level controls

A primary challenge for platform admins is deploying and administration of AI assisted code reviews across their repository footprint.  This release is designed to make that simple. It gives platform teams the power to define a "golden path" for code quality and automate its enforcement from a central location.

These new org-level settings provide a baseline for all repositories, while still allowing individual teams to set their own repo-level style guides and configurations for further customization.

• Central custom style guides:. You can now define and enforce a single, organization-wide style guide. The AI agent automates the style and syntax feedback ensuring your specific rules are checked before a human ever sees the PR. This frees your human reviewers to focus only on high-value architecture and logic, dramatically shortening the review cycle.

• Org-wide configurations: To help you manage notifications at scale, you can now set the comment severity level across your entire organization from a central admin page, with more org-level configurations coming soon.

Enterprise-grade trust and compliance

This release is built on a foundation of enterprise trust and designed with Google Cloud level security and data protections.  The enterprise version of the code review agent operates under the Google Cloud Terms of Service. As part of our product, your code used as part of prompts to Gemini models and model responses are stateless in Google Cloud services and not stored.  To help protect the privacy of your data, we conform to Google’s privacy commitment with generative AI technologies including that Google doesn’t use your data to train our models without permission. 

This enterprise release is part of our broader effort to bring AI assistance across your entire software development lifecycle.

• Recently released: In case you missed it, we also recently launched the Code Review Gemini CLI Extension, bringing powerful AI assistance and agentic capabilities directly to your terminal

• What's next: We're just getting started. We are already developing new agentic loop capabilities for the GitHub app to help automate issue resolution and bug fixing. And, we continue to expand our support to other Source Code Management products.

Get started with the public preview today

We've created simple paths for you to get started, you can onboard your organization by starting in the Google Cloud Console.  Review our documentation to learn more about the setup and using the Code Review capability. Also see this video to learn more about onboarding.     

To allow your teams to test and use the agent's full capabilities, the public preview also includes a significantly higher pull request quota than the individual developer tier.