From Legacy Apps to AI Super Platforms The transformation underway in AI is clear: traditional applications with massive user bases and mature data/workflows are proactively evolving into AI-era "super apps" or intelligent platforms. These platforms are deeply integrating autonomous AI coding agents capable of end-to-end software development — planning, coding, testing, and even PR reviews. Two Emerging Forms of Super Apps 1. The All-in-One Super App A few platforms are aiming to become the ultimate integrated destination. In the near future, it's not just ChatGPT-style AI chatbots that will embed advanced AI programming capabilities — even established social and messaging giants like Facebook and WeChat are poised to integrate sophisticated AI coding agents. Programming as we know it will fundamentally change. It will no longer resemble traditional software engineering skills, and code will cease to be long-lived, permanently stored artifacts. Instead, it will become ephemeral and conversational — generated on-demand through natural language, much like a real-time dialogue. As a result, VibeWant’s future user base will primarily come from AI coding agents embedded within these super apps. 2. Platform + Multi-Agent Ecosystem (The Enterprise Mainstream) In this model, established enterprise platforms — such as Salesforce, Microsoft 365, and Slack — act as intelligent hosts. They open their ecosystems to a wide variety of specialized agents, enabling users to accomplish complex, cross-system workflows seamlessly within a single, familiar interface. This hybrid approach combines platform scale with specialized intelligence, delivering powerful composability without forcing users to switch tools.