这条推文点出了 AI 编程中常被忽视的「步骤拆分」策略，做复杂代码生成的开发者看完会重新评估自己的工作流，值得一试。
一位开发者分享使用 Opus 4.8 进行规划、GPT-5.5 执行代码的体验，强调将任务拆解为小步骤能显著提升输出质量。他提到动态工作流比多数人认为的更重要，并指出用 AI 生成 1 万行代码的 PR 花费 250 美元并不划算。他仍每日使用 Cursor AI，认为小步骤配合高质量模型效果更好。
Same here. Happy with Opus 4.8 (planning) and GPT-5.5 (execution). Also, breaking steps into small...
Same here. Happy with Opus 4.8 (planning) and GPT-5.5 (execution). Also, breaking steps into smaller ones for increasing quality is so underrated. This is why dynamic workflows are a bigger deal than most people think. sunil pai @threepointone spent all day on fable for a giant PR. ~10kloc, lots of testing and intervention. 250$. I... don't think it's worth it? happy with 4.8/5.5, and the quality of work is better when it's smaler steps. Still rocking @cursor_ai , that's software that I still love using on the daily. 🔗 View Quoted Tweet 💬 6 🔄 3 ❤️ 22 👀 2794 📊 7 ⚡