The connectivity cloud company says its developer community grew from 7.4 million in the previous quarter, reflecting rising demand for infrastructure that can build, deploy and scale AI-powered applications globally.
Cloudflare has surpassed 10 million developers building on its platform, up from 7.4 million in the previous quarter, as artificial intelligence reshapes how applications are developed, deployed and operated.
The milestone reflects Cloudflare’s expansion beyond its serverless computing platform, Workers, into a broader development environment covering compute, storage, databases, AI, media, real-time services, observability and developer tools. The company is positioning this integrated stack to help developers build applications for a digital environment increasingly shaped by autonomous AI agents and continuous machine-to-machine interactions.
The shift is also visible in Internet traffic. Cloudflare reports that daily requests from AI agents across its network grew by more than 1,700% in a year. The company says that, for the first time, more than half of Internet traffic was non-human, highlighting the growing role of automated systems in accessing online services.
“Developers don’t have to choose between speed, scale, and security.”
— Dane Knecht, Chief Technology Officer, Cloudflare
As AI-assisted coding and agentic workflows accelerate software development, applications must increasingly support interactions among people, APIs, applications and AI agents. Cloudflare argues that this requires infrastructure capable of handling distributed workloads while maintaining performance, security and scalability.
Its developer platform brings together services including Workers AI, Workers KV, AI Gateway, Durable Objects, D1 and R2. These tools support AI inference, data management, storage and application development within a broader infrastructure designed to operate across Cloudflare’s global network.
Rita Kozlov, Vice President of Product Management at Cloudflare, said the company built Workers nearly a decade ago around an approach to computing designed for efficiency, speed and global scale. That architecture, she said, becomes increasingly relevant as developers and AI agents collaborate to build software for both human and machine users.
Cloudflare’s network is central to that proposition. The company spans more than 340 cities across more than 130 countries, connects with 13,888 networks and has 590 Tbps of external network capacity. This footprint allows applications to run closer to users and supports the distribution of application and AI traffic across regions.
Dane Knecht, Chief Technology Officer at Cloudflare, said the network enables developers to build once and reach users, applications and agents worldwide without having to compromise between performance, scale and security.
The company’s Workers platform uses isolates rather than traditional virtual machines or containers, an approach designed to support rapid deployment and efficient scaling across its network.
As AI agents take on more tasks on behalf of businesses and individuals, cloud platforms face growing pressure to support persistent, distributed and increasingly automated workloads. Cloudflare’s latest milestone signals how infrastructure providers are broadening their developer offerings to address that transition.
The longer-term challenge will be turning growing developer adoption into sustained production use as enterprises weigh performance, security, governance and operating costs when scaling AI applications.
