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The AI engineering stack we built internally — on the platform we ship

The Cloudflare Blog·Ayush ThakurScott Roe-MeschkeRajesh Bhatia·about 1 month ago
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2026-04-20 14 min read 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 employees 47.95 million AI requests  295 teams are currently utilizing agentic AI tools and coding assistants.…

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