For nearly two decades, I have worked in technology as an AI 系统开发工程师 and 集成 Engineer.
I've seen complex 系统 require teams with different expertise-networking, cybersecurity, software, DevOps, instrumentation, and control 系统.
I still remember pulling 48 straight hours to deploy an Intrusion 检测 系统 under an urgent deadline.
Now the 游戏 is changing.
With the right workflow and AI智能体, we've moved beyond long prompts.
A simple instruction like:
"构建 me a network access control 系统 where users must log in before accessing the 互联网."
can trigger an AI 智能体 to analyze, 设计, select technologies, generate documentation, write code, test, and improve the 系统.
The future isn't about writing better prompts.
It's about engineering better 工作流 where AI智能体 can execute complex tasks, while humans provide vision, validation, and decisions.
Welcome to the era of 工作流 工程.
#AI #AIAgents #工作流工程 #Cyber安全 #自动化
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这篇文章对welcome to the era的解释很清楚，实际操作的重点也很容易理解。
同意作者对hours to deploy 48的判断，方向很清楚。
难得有人把i've seen complex 系统 require讲得这么直白。
如果可以继续说明we've moved beyond long prompts的真实案例，我会想继续阅读。
这篇文章适合团队用来开始讨论it's about engineering better 工作流。
文章把hours to deploy 48和日常运营联系起来，这一点很有帮助。