AWS is helping vibe-coding startup Superblocks, and the implications are big
AWS now allows vibe coding tool Superblocks to be embedded into the private clouds of AWS customers. It's another step towards decoupling apps from models.
Vibe coding startup Superblocks announced a multi-year 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 will be able to offer vibe coding to the companyβs business users, and those apps will not send data or information externally to model providers or databases. The apps will spin up Amazon Aurora databases within the companyβs private cloud, not, for instance, create external Supabase databases, the vibe-coding database of choice.
The apps will also integrate with Amazon Bedrock, the cloud giantβs AI app development/AI gateway/inference platform. Essentially, these apps will automatically fall under ITβs management and security, rather than be rogue applications.
βWeβre going to bring it to your data inside your private cloud,β Superblocks co-founder and CEO Brad Menezes tells TechCrunch of vibe coding. βThe big thing about that is data never leaves. β¦ Itβs their AWS account and basically secure with all of the auditing, all of the encryption, all of the network controls.β
AWS will also help sell Superblocks to enterprises as it does for many of its Marketplace partners. βWe support partners where we see strong customer demand and alignment with how customers want to build,β an AWS spokesperson tells TechCrunch.
Still, AWS does not yet have its own vibe-coding agent aimed at business users. It has Kiro, an AI coding agent aimed at developers, but itβs not a vibe coder. Amazon also has an AI assistant, Quick, for business users. But again, thatβs more like a Claude Cowork or Microsoft Copilot, rather than a Lovable or Replit.
So this should be a nice 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.
Yet, itβs actually a more significant symbol than that. Itβs part of a growing trend where the hyperscaler cloud providers urge their enterprise customers to separate their AI models from all the other scaffolding needed to run enterprise AI and do so on their clouds. They want enterprises to buy AI harnesses (aka agentic apps), AI orchestration, security tools, and the like from them, and not from the frontier providers.
In the past few weeks, Microsoft CEO Satya Nadella has been banging the drum with exactly that message. Heβs been telling his many enterprise customers to use multiple models to reduce costs and avoid lock-in. Heβs also been preaching that the AI labs are not trustworthy enough to turn to for agent orchestration or app-level harnesses because they may use that data to study a business and later compete with it.
Enterprises perhaps donβt need such warnings. They have already decided to adopt multiple models, particularly frontier Chinese open-weight options. βThat is flipped because 60 days ago they were like, I want a specific model. Itβs called Anthropic,β Menezes adds.
Open models, for instance, accounted for 29% of all traffic routedΒ through Vercelβs AI gateway last month, a popular tool among enterprises to manage multi-model AI use.
Then, by necessity, all of their AI scaffolding canβt be tied to one provider.
βHaving a multi-model strategy across big frontier labs, OpenAI, Anthropic, and open source β and Iβd say Chinese open source right now, but also U.S. open source is now starting to come up. Itβs a must-have for the CIO,β he says. They want model choice for coding as well as customer service, HR, [and] sales automation, he adds.
Menezes says the movement is so strong, he predicts that βany enterprise that is betting on a single model provider, that executive will be fired.β
So now, weβre seeing the cloud providers bring vibe coding for business users into private, secure clouds, too. Thatβs like a potential second wave after bringing AI coding agents for enterprise developers. βItβs an emerging category with real momentum, and exactly the kind of innovation we support,β AWS tells TechCrunch.
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