Replit and Google Cloud are taking their partnership into a wider phase, aiming to bring conversational coding into the everyday workflow of enterprise development teams. What began as a close technical relationship is now turning into a multi-year agreement that both companies expect will shift how large organizations experiment with building software.
Vibe coding, the trend of creating apps simply by describing them through a chat interface, has caught the attention of countless individual developers this year. Until recently, though, it has been more of a personal tool than something used inside larger engineering groups. Executives from both companies say that this expanded collaboration is meant to change that.
Under the agreement, Replit will continue running its platform on Google Cloud. Services such as Cloud Run and Google Kubernetes Engine will remain the backbone behind Replit’s infrastructure as the platform grows. The company is also increasing its use of BigQuery, partly to support heavier workloads coming from enterprise adoption.
The other major component of the deal centers on deeper AI model integration. Replit now supports several Google models, including Gemini 3 and Imagen 4, giving developers access to multimodal tools for tasks ranging from writing code to generating design assets. The interest around Gemini 3 has been particularly strong since Replit added the model into its Design mode earlier this year.
Thomas Kurian, CEO of Google Cloud, said the partnership aims to help companies experiment more confidently with newer development workflows. He noted that the combined work should “accelerate the adoption of vibe coding in the enterprise” while offering a more unified set of tools for teams that want to explore AI-assisted development.
Replit’s chief executive, Amjad Masad, echoed a similar sentiment. He said the company has seen rising usage inside Fortune 1000 firms, adding that the new agreement gives Replit room to expand and refine its tools in ways that support larger development organizations.
For now, both companies appear focused on building out practical paths for enterprises that want AI in their development pipelines without disrupting existing systems. The partnership gives them a clearer starting point as interest in conversational software creation continues to grow.
