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Vibe coding: Superblocks AI agent addresses security and privacy risks by turning natural language prompts into secure, production-grade applications written in React, a JavaScript library optimized for building any user interfaces

May 29, 2025 //  by Finnovate

DayZero Software Inc., a maker of secure software development tools that does business as Superblocks, has raised $23 million in a Series A venture capital round extension, bringing its total funding to $60 million. The company is addressing a problem caused by generative artificial intelligence: vibe coding. It involves using AI tools to generate software quickly based on natural language prompts, often without a deep understanding of the underlying code. While great for rapid prototyping, vibe coding carries the risk of errors, security holes and inadvertent disclosure of proprietary information. Superblocks’ answer is Clark, an AI agent that turns natural language prompts into secure, production-grade applications written in React, a JavaScript library optimized for building user interfaces that can also support production-grade applications. “React is the largest front-end framework in the world so you can build pretty much any user interface with it, and most of the modern web is on it,” Superbocks co-founder and Chief Executive Brad Menezes said. Clark routes requests through a cadre of specialized AI agents covering design, security, quality assurance and IT policy. That mimics how a real internal development team operates. Superblocks is betting that the volume of homegrown software in use in enterprises will grow as generative AI lowers barriers to entry. Clark uses an assortment of popular LLMS that are trained using “unique, enterprise context on the company’s design system,” Menezes said. “When you build an application in Superblocks, you know it has the right audit logging, permissions, private data and integration.”

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Previous Post: « Google’s contribution to vibe coding is Stitch, a platform that designs user interfaces (UIs) with one prompt
Next Post: GridCARE reduces data centers’ time-to-power from 5-7 years to just 6-12 months by leveraging advanced generative AI-based analysis to find pockets with geographic and temporal capacity on the existing grid to enable faster deployment of GPUs and CPUs »

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