“What you’re seeing right here exists in production.” Domitrius Clark walks through how Netlify isolates every agent run into its own environment and database branch, allowing teams to safely experiment without affecting live user data. That means you can: • test multiple features simultaneously • iterate in parallel • safely explore changes with AI agents • avoid accidental production issues Instead of one shared staging environment becoming a bottleneck, every experiment gets its own isolated workspace. This is a huge shift in how teams can build, test, and collaborate with AI-assisted workflows.
Teams also move faster when multiple changes can run in parallel without waiting for a single review path to clear.