Years ago, when I was working as an IT经理, some pure coders looked down on my approach to 系统 development. Instead of writing everything from scratch, I combined existing scripts, 工具, and technologies to build working solutions. I wasn't trying to prove I could write thousands of lines of code. I simply wanted to solve real business problems, faster and more efficiently.
Fast forward to today, AI智能体 are taking that same philosophy to an entirely 新 level. We can now go from an empty server to a functional 系统 in hours instead of months. But the real disruption isn't speed. It's the shift of power from programmers to domain experts. An accountant can build accounting software, an engineer can build engineering 系统, and a business owner can develop an entire operational platform. They understand the problems. AI becomes the execution engine.
My thesis for 2027: The next billion-dollar software companies may not be founded by traditional programmers, but by domain experts who know exactly what needs to be built. 架构, security, and reliability still matter, but deep industry knowledge is becoming a powerful competitive advantage.
Yesterday, I assembled scripts. 今天, I orchestrate AI智能体. Tomorrow, domain experts become software founders. The biggest opportunity isn't AI replacing developers. It's AI unlocking millions of 新 builders.
And looking back, perhaps being called a script kiddie wasn't such a bad thing after all.
#AIAgents #VentureCapital #VerticalAI #FutureOfSoftware #AI基础设施 #创业
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如果可以继续说明it's AI unlocking millions的真实案例，我会想继续阅读。
文章对billion-dollar的结论比较平衡，不只是强调好处。
关于years ago的说明很完整，基础部分尤其清楚。
关于AI becomes the execution engine的例子很实用，适合团队继续讨论。
这篇文章适合团队用来开始讨论my thesis for 2027。
收藏了，主要是为了the next billion-doll 2027。