Superblocks announced a multi-year joint marketing agreement with AWS that enables its vibe-coding tool to be embedded within the private clouds of AWS customers. An enterprise on AWS that subscribes to Superblocks can offer vibe coding to its business users, and the apps those users create will not send data or information externally to model providers or databases. Instead, the apps spin up Amazon Aurora databases inside the company’s private cloud — not, for instance, external Supabase databases, the vibe-coding database of choice. The apps also integrate with Amazon Bedrock. Essentially, these apps automatically fall under IT’s management and security rather than becoming rogue applications. “We’re going to bring it to your data inside your private cloud,” Superblocks co-founder and CEO Brad Menezes said. “The big thing about that is data never leaves. … It’s their AWS account and basically secure with all of the auditing, all of the encryption, all of the network controls.”

AWS will also help sell Superblocks to enterprises, as it does for many Marketplace partners. “We support partners where we see strong customer demand and alignment with how customers want to build,” an AWS spokesperson said. AWS does not yet have its own vibe-coding agent tailored to business users. Kiro is an AI coding agent for developers rather than a vibe coder, and Quick is an AI assistant for business users closer to Claude Cowork or Microsoft Copilot than to Lovable or Replit. The deal is still a significant boost for early-stage Superblocks, which has 50 employees and raised a total of $60 million as of its Series A announced in May 2025, backed by Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks.

The larger signal is a growing trend in which hyperscaler cloud providers urge enterprise customers to separate their AI models from the rest of the scaffolding needed to run enterprise AI, and to do so on the cloud providers’ own infrastructure. Microsoft CEO Satya Nadella has pushed exactly that message, telling enterprise customers to use multiple models to reduce costs and avoid lock-in, and warning that AI labs may not be trustworthy enough for agent orchestration or app-level harnesses because they could use data to study a business and later compete with it. Enterprises may not need the warning, as they have already decided to adopt multiple models, particularly frontier Chinese open-weight options. “That is flipped because 60 days ago they were like, I want a specific model. It’s called Anthropic,” Menezes said. Open models, for instance, accounted for 29% of all traffic routed through Vercel’s AI gateway last month, a popular tool among enterprises for managing multi-model AI use. “Having a multi-model strategy across big frontier labs, OpenAI, Anthropic, and open source — and I’d say Chinese open source right now, but also U.S. open source is now starting to come up. It’s a must-have for the CIO,” he said. Model choice is now relevant for coding, customer service, HR, and sales automation. Menezes said the movement is so strong that he predicts “any enterprise that is betting on a single model provider, that executive will be fired.”

Cloud providers are therefore bringing vibe coding for business users into private, secure clouds, potentially a second wave after AI coding agents for enterprise developers. AWS told TechCrunch: “It’s an emerging category with real momentum, and exactly the kind of innovation we support.”