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.
