It’s estimated that over 40% of all new code is now written by AI and this trend is expected to accelerate, leading to a significant increase in code being shipped to production. However, the impact of this increased code on companies' core business metrics is uncertain and may not always be positive. Industry-wide, only about a third of product changes have a beneficial impact, while the rest either do nothing or can even be harmful. To mitigate this issue, feature flags and experiments have been used by top companies for years to measure code changes in production and ship successful ones while reverting unsuccessful ones. In response to the increasing scale of the problem, GrowthBook has launched two products tailored specifically for this new reality: Safe Rollouts, which enable lightweight experiments with minimal developer involvement, and the MCP Server, a feature management and experimentation platform that allows developers to create feature flags, configure Safe Rollouts, and monitor results all within their IDE, making it easy to incorporate GrowthBook into AI-driven development workflows.