Superblocks, a startup specializing in vibe coding, has announced a multi-year joint marketing agreement with Amazon Web Services (AWS). This partnership will allow Superblocks' tool to be seamlessly integrated within the private cloud environments of AWS customers.
For AWS enterprises subscribing to Superblocks, this means they can provide vibe coding capabilities to their business users. Crucially, applications developed this way will not transmit data or information externally to model providers or databases. Instead, these applications will leverage Amazon Aurora databases spun up within the company's private cloud, rather than relying on external solutions like Supabase, which is often a default choice for vibe coding databases.
Furthermore, these applications will integrate with Amazon Bedrock, AWS's comprehensive platform for AI application development, gateway services, and inference. This integration ensures that the applications will automatically fall under an organization's existing IT management and security protocols, preventing them from operating as uncontrolled or "rogue" applications.
Brad Menezes, co-founder and CEO of Superblocks, emphasized the security benefits to TechCrunch, stating, “We’re going to bring it to your data inside your private cloud.” He further highlighted, “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.”
In addition to the technical integration, AWS will actively support the sales of Superblocks to enterprise clients, a common practice for its Marketplace partners. An AWS spokesperson confirmed this approach to TechCrunch, noting, “We support partners where we see strong customer demand and alignment with how customers want to build.”
Notably, AWS currently does not offer its own vibe-coding agent specifically tailored for business users. While it provides Kiro, an AI coding agent for developers, it doesn't fit the definition of a vibe coder. Amazon also has Quick, an AI assistant for business users, but this tool functions more akin to services like Claude Cowork or Microsoft Copilot, rather than innovative platforms such as Lovable or Replit.
This collaboration represents a significant boost for Superblocks, an early-stage company with 50 employees. The firm successfully raised $60 million in its Series A funding round, announced in May 2025, with backing from prominent investors including Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks.
Beyond its immediate impact, this partnership signifies a broader trend: hyperscaler cloud providers are increasingly encouraging enterprise customers to decouple their core AI models from the necessary operational scaffolding and host everything within their respective clouds. These providers aim for enterprises to procure AI harnesses (also known as agentic apps), AI orchestration tools, and security solutions directly from them, rather than from frontier AI providers.
Microsoft CEO Satya Nadella has recently championed this very message, urging enterprise customers to adopt multiple AI models to optimize costs and prevent vendor lock-in. He has also cautioned against relying on AI labs for agent orchestration or app-level harnesses, citing concerns that these labs might leverage business data for their own competitive analysis.
However, enterprises may not require such explicit warnings, as many have already begun adopting multi-model strategies, particularly favoring frontier Chinese open-weight options. Menezes observed this shift, adding, “That is flipped because 60 days ago they were like, I want a specific model. It’s called Anthropic.”
Supporting this trend, open models constituted 29% of all traffic routed through Vercel’s AI gateway last month, a widely used tool by enterprises for managing diverse AI model deployments.
Consequently, a multi-model approach inherently dictates that an enterprise's entire AI scaffolding cannot be tethered to a single provider.
Menezes reiterated the strategic imperative, stating, “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 further noted that businesses seek model choice across various functions, including coding, customer service, human resources, and sales automation.
Such is the strength of this movement, Menezes predicts that “any enterprise that is betting on a single model provider, that executive will be fired.”
This development marks cloud providers' expansion into bringing vibe coding for business users into private, secure cloud environments. It represents a potential second wave of innovation, following the introduction of AI coding agents for enterprise developers. An AWS spokesperson affirmed to TechCrunch, “It’s an emerging category with real momentum, and exactly the kind of innovation we support.”
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