TechCrunch reports that developers have become so attached to AI coding tools that METR struggled to repeat a no-AI control study. Earlier research found developers felt more productive with AI, while measured task completion could be slower due to debugging, steering, and waiting. The article warns that token usage and code volume are weak productivity proxies if AI-generated code creates more bugs, review work, and long-term maintenance costs.
Vercel 釋出最新里程碑,揭露其 AI 團隊的驚人效率。僅憑藉 6 名工程師的精簡編制,該團隊便成功支撐起服務 300 萬名客戶、累計處理 3600 億個 Token 的龐大 AI 業務。這項成就充分展現了 Vercel Serverless 架構、Vercel AI SDK 以及現代自動化工具在 AI 時代所帶來的巨大開發槓桿與規模化能力。