Shuttle

The platform's core promise is that developers should be able to focus entirely on writing application code without touching Dockerfiles, Kubernetes configs, Terraform scripts, or cloud console dashboards and have Shuttle handle all infrastructure provisioning, scaling, and management automatically.

With $6 million in seed funding raised in October 2025, Shuttle is accelerating its vision of becoming the AI-powered platform engineer that wires cloud infrastructure for developers automatically.

Shuttle's AI integration capabilities are at the forefront of its 2025 positioning.

The platform is building deep integrations with AI coding tools including Cursor, Claude Code, and GitHub Copilot, enabling developers to describe their backend requirements in natural language and have the entire cloud stack provisioned and wired automatically.

The workflow vision is as simple as typing 'build me a task-management API' and receiving a fully deployed, working backend in under five minutes with all database connections, logging, environment configuration, and scaling handled without manual intervention.

The platform natively supports all major Rust frameworks and provides out-of-the-box integrations for database connectivity, comprehensive logging, and AWS infrastructure.

Database setup that would typically require hours of configuration work provisioning an RDS instance, setting up connection pools, managing credentials and environment variables is handled automatically by Shuttle with minimal developer input.