Aubzhang doesn’t know how to code. But this year, Aubzhang is building full-scale apps.
Aubzhang is in his early forties, with years of experience as a product manager across both internet tech and traditional industries. Lately, one thing has been scratching an itch in Aubzhang’s mind: AI.
Not the grand narrative of "AI changing the world." But a blunt realization: this thing might actually let a non-technical guy like Aubzhang build something real.
Aubzhang can't code. Seriously. A couple of lines of syntax make Aubzhang dizzy; error logs give Aubzhang a headache. But Aubzhang knows business logic, operational flows, and user psychology. That's the arsenal built up over the years.
But for a long time, that arsenal was useless.
Back in the day, Aubzhang handed off PRDs and prototypes to dev teams. Launching was just a matter of time. Later, as a founder, no one handled the code. Requirements were crystal clear, but stuck at the "last mile."
Outsourcing? Aubzhang checked. Terrifying quotes, endless timelines. At this age, Aubzhang isn't betting the house on a dev team.
So ideas sat on the shelf.
Until Aubzhang started using AI.
Step 1: Testing the Waters – A Vocabulary App
Aubzhang didn't start with a massive project.
Aubzhang used Duolingo. Great product, terrible vocabulary book. Aubzhang had studied etymology (root words) before. So, why not build a better one?
Aubzhang built a vocabulary app based on etymology: 10,000 words, covering K-12 to college level. British/American pronunciation. Simple quizzes for memory and review.
It was a small tool. But "built it" was a phrase Aubzhang never dared to dream of before. Now, it's done.
That first taste built the confidence.
Step 2: Leveling Up – An Aquaculture Management System
With one win, Aubzhang aimed higher.
Aubzhang got into aquaculture a few years ago. Looks rustic, but the business is complex: seeding, sorting, cold storage, ledgers. Aubzhang wanted a system tailor-made for this specific workflow—not a generic software.
Aubzhang knew the business. Aubzhang could draw the prototypes.
Same old problem: Code.
This time, Aubzhang pushed AI harder. It wasn't magic. Aubzhang explained the business logic sentence by sentence. Aligned the product architecture paragraph by paragraph. AI wrote the code; Aubzhang judged if it actually worked.
One month. From development to deployment. A fully functional, enterprise-grade aquaculture system was running.
Aubzhang had the system design experience. The only missing piece was the dev team—and AI just filled that gap.
What Aubzhang Realized
After these two projects, the lesson was clear:
The "last mile" that used to block non-tech people is gone.
If you know the business, AI can build the system. If you know the user, AI can build the product. The barrier is still there, but it's much lower.
Aubzhang isn't hyping AI. Aubzhang has hit bugs, done reworks, and seen AI hallucinate nonsense. But this shift is real. It's worth a serious effort from a middle-aged product guy.
Final Thoughts
So Aubzhang started this channel.
Aubzhang will put everything here: tools built with AI, pitfalls stepped in, and hard lessons learned. No BS, no slogans. If it works, it works. If it saves you a detour, great.
Aubzhang doesn't know tech, but Aubzhang is learning to build with AI.
If you’re someone who wants to build but fears the tech—let’s walk this path together.