Vibe-coding enterprise Superblocks has revealed a multi-year cooperative marketing contract with Amazon Web Services (AWS) that permits its application to be integrated into the private clouds of AWS clientele.

This implies that a business on AWS subscribing to Superblocks can extend vibe coding to its end users, with the assurance that the applications will not transmit data or details externally to modeling providers or databases. The applications will generate Amazon Aurora databases within the enterprise’s private cloud, avoiding the creation of external Supabase databases, which is the preferred vibe-coding database.

Additionally, the applications will connect with Amazon Bedrock, the tech giant’s platform for AI application development, AI gateway, and inference. Essentially, these applications will seamlessly fall under the purview of IT’s oversight and security, rather than functioning as independent applications.

“We’re bringing it directly to your data inside your private cloud,” explained Superblocks co-founder and CEO Brad Menezes to TechCrunch regarding vibe coding. “The crucial aspect is that the data remains intact. … It’s their AWS account, effectively secure with comprehensive auditing, encryption, and network safeguards.”

AWS will also assist in promoting Superblocks to enterprises, akin to how it functions with many of its Marketplace associates. “We support partners where there is robust customer interest and alignment with customer approaches,” states an AWS representative to TechCrunch.

However, AWS does not yet offer its own vibe-coding agent designed for business users. It has Kiro, an AI coding agent designed for developers. Amazon has introduced an AI assistant, Quick, for business users, but this is more analogous to Claude Cowork or Microsoft Copilot than to Lovable or Replit.

This should provide a notable advantage for early-stage Superblocks, which has 50 employees and has secured a total of $60 million as of its Series A, disclosed in May 2025, with backing from Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks.

Yet, this represents a more substantial indicator than merely financial backing. It highlights a rising trend in which large cloud providers encourage their enterprise customers to dissociate their AI models from the additional infrastructure necessary to implement enterprise AI, all while utilizing their clouds. They intend for enterprises to procure AI harnesses (also known as agentic apps), AI orchestration, security solutions, and similar tools directly from them, rather than from frontier providers.

In recent weeks, Microsoft CEO Satya Nadella has been vigorously promoting this particular message. He has been advising his numerous enterprise clients to leverage multiple models to decrease expenses and prevent vendor lock-in. He has also cautioned that AI labs may not be reliable enough for agent orchestration or app-level harnesses, as they might utilize data to analyze a business and subsequently compete with it.

Enterprises might not require such alerts. They have already chosen to adopt various models, especially frontier Chinese open-weight alternatives. “That approach has switched because 60 days ago they were inclined towards a specific model. They sought something called Anthropic,” Menezes asserts.

Open models, for example, represented 29% of all traffic funneled through Vercel’s AI gateway last month, a favored tool among enterprises for managing multi-model AI applications.

Consequently, none of their AI infrastructure can be monopolized by a single provider.

“Implementing a multi-model strategy across major frontier labs, OpenAI, Anthropic, and open-source solutions — and I would say Chinese open source currently, but also U.S. open source is beginning to emerge. It’s essential for the CIO,” he observes. They desire model variability for coding, customer service, HR, and sales automation, he adds.

Menezes states the movement is so vigorous, he forecasts that “any enterprise focusing on a single model provider will see that executive dismissed.”

Now, we witness cloud providers introducing vibe coding for business users in private, secure clouds as well. This can be seen as a potential secondary wave following the introduction of AI coding agents for enterprise developers. “It’s an emerging sector gaining significant momentum and represents precisely the type of innovation we endorse,” AWS informs TechCrunch.