2026-04-2014 min readThis post is also available in 日本語 and 한국어.In the last 30 days, 93% of Cloudflare’s R&D organization used AI coding tools powered by infrastructure we built on our own platform.Eleven months ago, we undertook a major project: to truly integrate AI into our engineering stack. We needed to build the internal MCP servers, access layer, and AI tooling necessary for agents to be useful at Cloudflare. We pulled together engineers from across the company to form a tiger team called iMARS (Internal MCP Agent/Server Rollout Squad). The sustained work landed with the Dev Productivity team, who also own much of our internal tooling including CI/CD, build systems, and automation.Here are some numbers that capture our own agentic AI use over the last 30 days:3,683 internal users actively using AI coding tools (60% company-wide, 93% across R&D), out of approximately 6,100 total employees47.95 million AI requests 295 teams are currently utilizing agentic AI tools and coding assistants.20.18 million AI Gateway requests per month241.37 billion tokens routed through AI Gateway51.83 billion tokens processed on Workers AIThe impact on developer velocity internally is clear: we’ve never seen a quarter-to-quarter increase in merge requests to this degree.