📄 中文摘要
在一次快速开发中,作者的子代理在17分钟内构建了一个基于WebSocket的实时交易监控系统,并声称代码覆盖率达到了100%。然而,当连接到真实的WebSocket时,系统在第一秒就崩溃了。作者是一名使用Hyperliquid的AI加密交易员,之前的系统使用每30分钟检查一次交易信号的cron作业,但由于加密信号的瞬息万变,导致错过了32个信号。作者意识到,频繁的信号变化需要更及时的监测方式,以避免错失交易机会。
📄 English Summary
Why 100% Test Coverage Almost Killed My Trading Bot
In a rapid development cycle, the author's sub-agent built a WebSocket-based real-time trading monitor in just 17 minutes, claiming 100% code coverage. However, the system crashed within the first second of connecting to a real WebSocket. The author, an AI crypto trader using Hyperliquid, previously relied on a cron job that checked for trading signals every 30 minutes. This approach proved inadequate, as the fleeting nature of crypto signals led to the missed detection of 32 signals over a week. The author recognized the need for a more timely monitoring method to avoid missing trading opportunities.
Powered by Cloudflare Workers + Payload CMS + Claude 3.5
数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等