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What a UX Designer Learned from Building Apps with AI
A Singapore GovTech designer found that while AI accelerates prototyping, fundamental engineering knowledge remains essential for shipping functional, scalable applications.
What: Using the AI app builder Lovable, a designer attempted to build a planning-poker tool. The project stalled until a developer intervened to resolve a fundamental architecture issue involving WebSockets, demonstrating that AI tools cannot currently bridge the gap between design concepts and complex infrastructure requirements.
Why it matters: This highlights the 'last-mile' problem in AI-assisted development where LLMs excel at UI generation but often lack the system-level expertise required for reliable production deployment.
Decoder
- WebSocket: A communication protocol that provides full-duplex communication channels over a single TCP connection, essential for real-time applications like planning-poker tools.
Original article
A UX designer at Singapore's GovTech spent months building small working apps solo using the AI app builder Lovable. Building a real-time planning-poker tool exposed AI's limits: the assistant kept failing until a developer explained he needed a WebSocket, the technical term that finally unblocked progress. The experiment's lesson was that AI accelerates prototyping but doesn't replace design judgment or engineering expertise, especially for public-sector systems that must run reliably at scale.
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