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deepseek-v4.1IMAGE

用 REA 追踪行为 + V4.1 Flash 三小时复刻付费功能

帖子讲述深圳 19 岁开发者用录屏工具 REA 追踪某应用的光标与自动缩放行为,再让 DeepSeek V4.1 Flash 重建代码并循环测试,三小时做出可运行原型。

expemilly
@expemillyweb310 天前收录原推发布于 2026.10.22
用 REA 追踪行为 + V4.1 Flash 三小时复刻付费功能
expemilly @expemillyweb3原推发布于 2026.10.22
在 X 上打开原推

it's becoming f*cking dangerous. A 19-year-old dev from Shenzhen just spent 3 hours rebuilding the feature he was paying $179/month to use. He didn't have the source code. He didn't even know how the original was built. At 10 PM, he opened a screen-recording app and pointed REA at it. Then dev connected DeepSeek V4.1-Flash. Here's the insane part: REA traced how the app tracked cursor movements and triggered automatic zooms DeepSeek rebuilt the behavior in a separate codebase A testing loop compared both versions using the same inputs Failed tests went straight back to the model for another pass By 1 AM, he had a working prototype with cursor tracking, automatic zooms, and video export. Not a finished competitor. But the exact feature he'd been paying for. Think about how weird that is. A company spends months figuring out which features people want. A kid sees the finished product, uses AI to understand how one feature behaves, and builds his own version before going to bed. The workflow is worth keeping: REA → trace behavior → DeepSeek → rebuild → test → repeat. And somewhere right now, a developer is still waiting until they're "good enough" to start building.

这条是引用着另一条写的:x.com/argona0x/status/2111152998344757333

x.com/expemillyweb3/status/2113020509797404987采集于 2026.10.22 11:59