AWS is helping vibe-coding startup Superblocks, and the implications are big

Vibe-coding startup Superblocks announced a multiyear joint marketing agreement with Amazon Web Services (AWS) that enables its tool to be embedded within the private clouds of AWS customers. That means an enterprise on AWS that subscribes to Superblocks can offer vibe coding to its business users without sending data or information externally to model providers or databases. The apps will spin up Amazon Aurora databases within the company’s private cloud rather than, for instance, external Supabase databases, the vibe-coding database of choice, and will integrate with Amazon Bedrock, AWS’s AI app development, gateway, and inference platform — putting the apps automatically under IT’s management and security rather than leaving them as rogue applications.

“We’re going to bring it to your data inside your private cloud,” Superblocks co-founder and CEO Brad Menezes tells TechCrunch of vibe coding. “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; an AWS spokesperson said the company “support[s] partners where we see strong customer demand and alignment with how customers want to build.” AWS does not yet have its own vibe-coding agent for business users — it has Kiro, an AI coding agent for developers, and an AI assistant for business users called Quick, more comparable to Claude Cowork or Microsoft Copilot than to Lovable or Replit.

The deal is a boost for early-stage Superblocks, which has 50 employees and has 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. More broadly, it’s a symbol of a growing trend where hyperscaler cloud providers urge enterprise customers to separate their AI models from the scaffolding needed to run enterprise AI — buying AI harnesses, orchestration, and security tools from the cloud provider rather than the frontier labs. Microsoft CEO Satya Nadella has recently pushed the same message to enterprise customers, telling them to use multiple models to reduce costs and avoid lock-in, and arguing AI labs aren’t trustworthy enough for agent orchestration or app-level harnesses because they could use customer data to study a business and later compete with it.

Enterprises appear to be adopting multiple models already, 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 says. Open models accounted for 29% of all traffic routed through Vercel’s AI gateway last month, a popular tool among enterprises 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,” Menezes says, adding enterprises want model choice for coding as well as customer service, HR, and sales automation. Menezes predicts “any enterprise that is betting on a single model provider, that executive will be fired.”

Why it matters

Cloud providers are extending their multi-model, keep-the-data-in-house pitch from developer tools to business-user vibe coding, positioning themselves as the default layer between enterprises and frontier AI labs rather than a pass-through to them.