Gemini Code Assist on 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 ...