James Shore 用简单的数学戳破了 AI 编程的幻觉——产出翻倍但维护成本不变，长期来看是灾难。做技术决策的团队负责人和架构师，建议认真读一下，避免被短期效率蒙蔽。
软件工程专家 James Shore 指出，使用 AI 编程助手虽然能提升代码产出速度，但若维护成本不相应降低，团队将陷入长期的技术债务陷阱。他以数学公式说明：产出翻倍但维护成本不变，总成本仍会翻倍；只有维护成本与产出增速成反比，AI 编程才真正有利。Shore 警告，当前许多团队只看到短期效率提升，却忽视了维护成本飙升的风险，最终可能被 AI 生成的代码“永久绑定”。
Quoting James Shore
Your AI coding agent, the one you use to write code, needs to reduce your maintenance costs. Not by a little bit, either. You write code twice as quick now? Better hope you’ve halved your maintenance costs. Three times as productive? One third the maintenance costs. Otherwise, you’re screwed. You’re trading a temporary speed boost for permanent indenture. [...] The math only works if the LLM decreases your maintenance costs, and by exactly the inverse of the rate it adds code. If you double your output and your cost of maintaining that output, two times two means you’ve quadrupled your maintenance costs. If you double your output and hold your maintenance costs steady, two times one means you’ve still doubled your maintenance costs. — James Shore , You Need AI That Reduces Maintenance Costs Tags: coding-agents , ai-assisted-programming , generative-ai , agentic-engineering , ai , llms