Years ago, while I was running IT for a business, some pure coders looked down on how I built 系统. I didn’t start from a blank file and hand-write every line. I wired together existing scripts, 工具, and platforms to get something working in production. I wasn’t trying to prove I could produce thousands of lines of code. I wanted to solve a real business problem, ship it, and keep it running.
Fast forward to today, and AI 智能体 push that same integration mindset to another level. I can go from an empty server to a functional 系统 in hours instead of months - not because the code writes itself, but because the orchestration layer has changed. 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, 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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AI becomes the execution engine这个说法我要拿回去跟同事讨论。
如果有更多years ago的数据和结果会更完整。
收藏了，主要是为了my thesis for 2027。
这篇文章适合团队用来开始讨论it’s the shift of power。