The idea behind vibe coding promised a future where anyone could turn an idea into a fully functional app using systems like Lovable and Replit AI. But as many new developers are now discovering, writing the code is only the beginning. The real challenge starts when they have to maintain, scale, and update their software — the same old headaches every developer eventually faces.
To ease that burden, a wave of new startups is stepping in. One of them, Shuttle, just announced it raised $6 million in seed funding to handle the messy infrastructure work that starts where systems like Lovable and Cursor stop. According to information gathered by TechMarge, investors in this round include former GitHub CEO Thomas Dohmke and Segment founder Calvin French-Owen.
Shuttle takes the code that a vibe-coding system produces and figures out the best way to deploy it. It shows users a deployment plan with pricing and, once approved, processes payment and launches the app directly to the user’s chosen cloud provider — all with little to no hassle.
The company has come a long way since joining Y Combinator’s 2020 class. It quickly gained traction among developers, especially those building with Rust. So far, over 20,000 developers have used Shuttle to power more than 120,000 deployments, thanks to its fast, zero-configuration setup. With its latest funding, Shuttle now aims to extend its platform to all programming languages and AI-powered coding tools.
CEO and co-founder Nodar Daneliya believes that agentic AI systems are breaking down the walls between programming languages, making it easier for Shuttle to integrate across multiple ecosystems at once. He said that AI has erased many of the traditional borders between language environments, creating a perfect opportunity for the company to grow. After years in the backend development space, the timing couldn’t be better.
In practice, Shuttle is building an agentic interface for managing platforms. Users will soon be able to request a database or cloud hosting using the same natural language prompts they use to create their apps. Behind the scenes, Shuttle is also developing deeper connections with cloud providers and coding systems so that its AI agents always have full context and can act intelligently.
Daneliya explained to a source that the team designed a special specification layer that bridges what humans can review and what AI can interpret. This “spec-driven” approach, he said, is quickly becoming the standard way to build software — and there’s no reason infrastructure shouldn’t follow the same path.
