Ask HN: Is anyone experimenting with different ways of using LLMs for coding?
摘要
帖子作者表示目前用 Claude Code 和 Codex 写代码时，无法进入像手写代码那样的 flow 状态，感觉 AI 像自行车却随时刹车，需要停下来审查后再提示。作者认为提示回复循环不够理想，方向性更好的方案是 tab model，邀请探讨相关初创公司或个人实验。
荐读理由
正文作者自述卡在 Claude Code 与 Codex 提示循环里，流畅度被打断，提出 tab 模型能替代 prompt 响应循环的实验方向；若有人给出真实 tab 实现或测试数据，可用于判断 AI 编码工具的实际工程价值，对这位独立开发者判断是否值得深入看有帮助
原文
I'm a bit annoyed by the feeling that we're kind of stuck when it comes to using LLMs for programming.
I use Claude Code and Codex, but I haven't been able to enter flow state like I can when I hand write code.
This is kind of ironic to me since AI should be a bicycle for the mind, but right now it feels like a bicycle that just brakes abruptly every couple minutes. I stop, wait, review, prompt again.
Is there anyone exploring something fundamentally different than the prompt response loop we have today?
I actually think the idea of a tab model is directionally better than prompt response.
Would love to hear about any startups, personal experiments, etc.
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