108 design studios specialising in vibe coding/prototyping with independently verified AI integration. These are teams that have embedded AI tools into how they actually deliver vibe coding/prototyping work - not just listed them on a profile.
Vibe coding is the practice of building software by describing what you want in natural language and letting AI tools generate the code. It sounds like a gimmick, but studios that have mastered it are shipping functional prototypes in hours that would have taken traditional development teams weeks. The name is deliberately casual - it captures the shift from writing every line of code manually to directing AI tools with intent and iteration.
Buyers who search for vibe coding and prototyping studios are usually founders validating an idea, product teams that need to test a concept before committing engineering resources, or innovation labs inside larger companies that want to explore multiple directions quickly. The common thread is speed. These buyers do not need production-grade code on day one. They need something real, interactive, and testable that they can put in front of users or stakeholders immediately.
When evaluating a studio for rapid prototyping work, the key question is how quickly they can go from brief to working prototype - and how close that prototype is to production quality. The best vibe coding studios use tools like Cursor, Lovable, Bolt, and Replit to generate functional applications from descriptions, then refine and extend them with experienced engineering judgement. The AI gets you to 80% in hours. The human expertise gets you from 80% to shippable.
Look at the studio's approach to technical debt. Vibe-coded prototypes can accumulate messy code quickly if the team is not disciplined about architecture and code quality. The best studios treat AI-generated code as a first draft that needs review, refactoring, and testing - not as finished output. Ask how they handle the transition from prototype to production. If they cannot explain that process clearly, the prototype might be impressive but the path to a real product will be painful.
