我测试了Lovable、Claude和Variant——一个成为明显赢家

In 2026, AI development tools have moved past the “prompt-to-parlor-trick” phase. Engineers, product designers, and founders aren’t asking if AI should write code anymore. They’re asking a sharper question: Which platform survives in contact with production design systems, real user traffic, and long-term maintenance? I spent three weeks testing three of the most talked-about AI dev platforms against identical real-world workloads: a full-stack SaaS dashboard, a complex API with auth/webhooks, and a component library with strict accessibility and design-token standards. The goal wasn’t to crown the flashiest demo generator. It was to measure time-to- deploy, code maintainability, debugging accuracy, design-system fidelity, and total workflow friction. The results were clear. …