AWS embeds Superblocks’ vibe-coding tool in enterprise private clouds

AWS and Superblocks announced a multiyear joint marketing agreement that allows Superblocks’ vibe-coding tool to be embedded within the private clouds of AWS customers. This enables enterprises subscribed to Superblocks to offer vibe coding to business users while keeping all data and processing within their own AWS environments.

Superblocks’ tool will automatically spin up Amazon Aurora databases within the customer’s private cloud, rather than creating external databases such as Supabase. It will also integrate with Amazon Bedrock, AWS’s AI app development and inference platform. As a result, these apps will fall under the enterprise’s IT management and security controls, rather than operating as rogue applications.

Superblocks co-founder and CEO Brad Menezes told TechCrunch that the partnership brings vibe coding to customer data inside their private cloud, ensuring data never leaves the enterprise’s AWS account. He emphasized that the apps will be secure with AWS’s auditing, encryption, and network controls.

AWS will co-market Superblocks to enterprises, aligning with its approach for Marketplace partners. An AWS spokesperson stated that the company supports partners where it sees strong customer demand and alignment with how customers want to build.

AWS does not currently offer its own vibe-coding agent for business users, though it has Kiro, an AI coding agent aimed at developers, and Quick, an AI assistant for business users. The spokesperson described Quick as more akin to tools like Claude Cowork or Microsoft Copilot, rather than a standalone vibe-coding platform.

Superblocks, which employs 50 people and raised a total of $60 million as of its May 2025 Series A, stands to gain from the partnership. The funding was led by Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks.

The partnership reflects a broader industry trend where hyperscalers are encouraging enterprises to decouple AI models from the rest of the enterprise AI stack and run these components on their clouds. This approach emphasizes using cloud-native tools for agentic apps, orchestration, and security, rather than relying on frontier model providers.