Building internal tools yourself can seem like the smart path. You stay in control, avoid vendor lock-in, and skip lengthy procurement cycles. But beneath the surface, DIY tooling often leads to a fragile, unsustainable foundation—ultimately leaving you with a tangle of tech debt, patchwork integrations, and painful maintenance cycles.

"Vibe coding," a term popularized by Andrej Karpathy, refers to the use of AI coding assistants to generate code through natural language prompts, often without detailed specifications. The appeal is clear: faster prototyping, shorter development cycles, and lower technical barriers for non-developers. However, without the proper guardrails, it can introduce significant risks.‍In this guide, we’ll highlight why unmanaged vibe coding falls short for enterprise applications, what to prioritize when evaluating AI app development platforms, and how Superblocks delivers the security, reliability, and scalability enterprises need.

Generative AI models like Anthropic’s Claude excel at interpreting natural language prompts and providing well-reasoned responses. However, these models lack direct access to business data and cannot independently take action to modify business systems.

For engineering teams choosing a new UI component library, it’s easy to over-index on visuals and ease of use. It’s only when a library choice begins to create tech debt and extensibility headwinds a few months down the line that teams begin to recognise the enormous challenge of selecting a library that can truly carry their codebase for the long-haul.

Fraudulent transfers are major sources of revenue loss. Payment processors must identify fraudulent transactions in real-time and take action immediately. Superblocks enable developers to quickly build applications to detect and decline these transactions in real time.

Learn how to seamlessly connect Superblocks to Confluent Cloud to build real-time streaming applications.