Replit Brings Vibe Coding to Google Cloud for Enterprises

Replit Brings Vibe Coding to Google Cloud for Enterprises

Analytics India Magazine (Siddharth Jindal)

Replit and Google Cloud have expanded their strategic partnership to bring vibe coding capabilities to enterprise developers, marking a shift from a tool popular among individual programmers to one aimed at larger teams.

Under a new multi-year agreement, Replit will increase its use of Google Cloud infrastructure and services, further integrate Google’s AI models, and jointly support enterprise use cases through go-to-market efforts on Google Cloud Marketplace and co-sell programs.

Google Cloud will remain Replit’s primary cloud provider. Services such as Google Cloud Run, Google Kubernetes Engine, and BigQuery will continue to support Replit’s applications and future scaling needs. Replit’s platform already uses multiple Google Cloud services and integrates Gemini models through Vertex AI.

As part of the expanded collaboration, Replit now supports Google’s latest models, including Gemini 3, Gemini 2.5 Flash Lite, Gemini 2.5 Flash, and Imagen 4 to power coding and multimodal features. Replit recently rolled out Gemini 3 in its Design mode.

Meanwhile, Google also launched Antigravity, its new agentic AI IDE embedded with Gemini 3 models.

Thomas Kurian, CEO of Google Cloud, said the expanded partnership will deliver more capabilities to Replit’s users through deeper integrations with AI and cloud services and will accelerate the adoption of vibe coding in the enterprise.

Replit co-founder and CEO Amjad Masad said the company is seeing rising interest from large organisations. “Over the last few months, we have seen fantastic adoption in businesses, especially in the Fortune 1000,” he said. 

“Today’s expanded partnership with Google will enable us to scale faster and more deeply as we integrate Google’s offerings with ours — the work is just beginning.”

The companies said they aim to help enterprise developers build applications through conversational interfaces, a workflow that has gained traction this year as AI-powered coding tools become more widely used.

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