人工智能是否正在拖慢你的脚步？
4 分•作者: charbz•大约 1 个月前
我非常好奇这个问题，想了解大家的经验。我是一名拥有数十年经验的首席工程师，目前正在处理一个庞大的代码库，该代码库用于 RPA（旧软件的数据录入自动化）。我可以让我的代理从头开始构建复杂的功能，但是，如果我不详细说明需要如何构建（低级别规范），或者我不知道如何更新当前代码库以支持此更改，事情很快就会失控。换句话说，如果我信任代理自己做出任何设计决策，那么很多细微之处就会完全被忽略，导致出现重大错误或违反 SLA 的问题。
总而言之，我发现构建足够详细的规范、审查和评估 AI 更改所需的工作比我自己实现这些功能更耗时（且认知要求更高）。
我哪里做错了？
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I am genuinely curious about this question and want to understand people's experiences. I'm a principal engineer with decades of experience, I am currently working on a massive codebase that does RPA (data entry automation for old software). I can get my agents to build complex features from scratch, However, if I don't describe exactly how it needs to be built (low level specs), or if I don't know how the current codebase needs to be updated to support this change things quickly get out of control. So in other words, if I trust the agents to make any design decisions on their own, then a lot of nuance will be completely missed, leading to major bugs or issues with the SLA.<p>To summarize my problem, I am finding that the work required to build detailed enough specs, review and evaluate AI changes is far more time consuming (and cognitively demanding) than implementing the features myself.<p>Where am I going wrong?