How Shuttle is Building the AI Platform Engineer

Shuttle, revolutionizing developer experience for building web apps, led by Nodar Daneliya and Juan Rodriguez Andrade, has secured $6 million from Y Combinator, Global Founders Capital, Thomas Dohmke, former CEO of GitHub, Calvin French-Owen, Founder of Segment, and Senior leaders from OpenAI, Deel, Confluent, and others.

AI is transforming software development. Developers now orchestrate systems to generate code, connect APIs, and scaffold products, dramatically increasing code pushed to production. Yet backend work, queues, storage, networking, security, and deployments still take days.

The definition of “developer” is expanding beyond traditional engineers, creating a bigger audience and a greater need for simpler, accessible infrastructure. Shuttle addresses this by providing an AI-native, language-agnostic platform where code and infrastructure coexist and are reviewable by both humans and AI.

Shuttle began with Rust, catering to developers seeking high performance and an exceptional experience. Now a top choice for deploying Rust backends in minutes, it has surpassed 130,000 deployments and serves tens of thousands of developers. Often called “Vercel for backends,” Shuttle boasts strong product-market fit, with 60% of users saying they’d be very disappointed if it disappeared, and an active, engaged community built around its mission.

Shuttle is expanding the zero-config experience that Rust developers love to every language, integrating seamlessly with AI coding workflows. The platform acts as an expert co-pilot, provisioning and wiring entire cloud stacks automatically.

A language-agnostic infrastructure-as-data spec enables deployment from tools like Cursor, Claude Code, or GitHub Copilot, no YAML, Terraform, or CI glue required. Shuttle provides reusable patterns for APIs, jobs, queues, and more, with preview environments, granular access control, cost guidance, and architecture suggestions for teams.