A 51-year-old who jokingly calls herself a "Chaoyang auntie" had never written a line of code. Because she loves knitting and is fed up with reading PDF pattern charts on her phone, she decided to build her own mini program. From opening WeChat DevTools to launch, it took just 3 days. This is her real story.
She's done every industry — except code
Lao Mo is 51 this year, born in 1975, from the Greater Khingan Range.
Before this, her résumé contained nothing code-related: mall clerk, Decathlon sales, building-materials sales for a foreign company, administrative assistant, small-cafeteria owner, children's training instructor — in her own words, "I've done every industry."
During the pandemic, stuck at home while others binge-watched shows or learned baking, Lao Mo's choice was — to apply for grad school.
The catch: she'd never even attended university. After high school she went straight into the workforce and drifted north. Only when she decided on grad school did she realize: she needed an undergraduate degree first. So she enrolled in a self-study exam, pursuing her bachelor's while preparing for the entrance exam. Her first choice was Beijing Normal University — she missed it by 6 points — and was eventually admitted to Tianjin University of Technology. Full-time, sitting in the same classroom with a bunch of twenty-somethings. English started from a grade-three level; she ended up scoring 66.
She graduated in 2025 with a master's in International Chinese Language Education.
A need that grew out of a hobby
Lao Mo loves knitting — not the "knit a scarf when I'm bored" kind, but the kind where you seriously study stitches, buy original foreign pattern charts, and have soaked in knitting circles for years.
Knitting a sweater requires reading pattern charts — technical documents marking stitches, sizes and steps. Domestic charts are mostly translated from foreign sites, sold as PDFs for a few yuan each.
This isn't a programmer looking for a project. It's a deep user, at the end of her patience, wanting to solve her own problem.
She knows exactly what knitting lovers need — which stitches are most used, where charts are easiest to misread, how annoying size conversion is. These insights are things no technical team that doesn't knit could ever come up with.
She searched everywhere and found no suitable product. She asked a developer friend — the quote was "tens of thousands."
She gave up for a while. Until she saw a claim on a tech account she follows: people with zero coding can use AI to develop.
"Better to rely on yourself than ask others."
3 days, from zero to launch
Her boyfriend, worried she'd get addicted to AI and hurt her health, gave her a deadline: "If you can't build it in three days, stop." To everyone's surprise, she built it.
Her method: use AI like onboarding a new hire
Lao Mo's development style might sound "off-script" to professional programmers, but it works. And her biggest strength isn't how fast she learns technology — it's that she genuinely understands what users want.
What she's proudest of isn't the UI — it's the backend
Asked which feature of the mini program she's most satisfied with, her answer was unexpected: "The backend."
She built a stitch library in the Tencent Cloud CloudBase database, encoding all ~50 stitches used in knitting for unified storage. Every time she develops a new pattern, she just types a three-letter stitch code and the system automatically pulls the corresponding stitch description and chart from the cloud.
She calls this indexing system "my ammunition depot." The first pattern took three days to lay the underlying architecture; the second validated its generality; after that, adding a new pattern is just "dropping an md file into the library."
"1 is 1, but 2 equals N."
The design logic of this "ammunition depot" didn't come from any technical tutorial — it came from years of classification intuition as a knitting enthusiast: which stitches are basic, which are composite, how to number them for memorability. AI helped her turn the classification system in her head into code, but the system itself — only a deep player like her could design it.
It blew up on Xiaohongshu
Lao Mo shared the mini program development process on Xiaohongshu and unexpectedly got 10,000+ views and 1,000+ likes.
The comments surprised her. There were also junior classmates of hers in computer science, encouraged after her mini program launched.
Words for fellow travelers
Lao Mo now spends 2-3 hours a day on mini program development, adjusting from the initial "8 hours nonstop" to a sustainable rhythm. Next plans: a small game, and an AI course for liberal-arts students.
She says AI programming brings her two kinds of pleasure: one is the joy of creating from nothing — "you know nothing, but the thing gets built"; the other is the satisfaction of intellectual growth — "when you design a set of automation rules, that feeling is another level of cognitive upgrade."
"Better one act of courage than a hundred plans — just do it."
"Don't be afraid of making mistakes; if wrong, tear it down and start over. AI won't laugh at you — no matter how basic your question, it answers seriously. Lao Mo's first sentence on CloudBase Builder was 'can you build a mini program?' — and in the end I really built it."
If you want to try too
Lao Mo's story isn't an isolated case. If you have a product idea that "only you could think of," here's the path she validated — no coding required, just a computer and your idea.
| What you worry about | How Tencent Cloud CloudBase + AI solves it |
|---|---|
| Can't set up a server | CloudBase has it built in, nothing for you to manage |
| Can't write backend code | Describe the requirement in Chinese, AI writes it |
| Can't deploy | DevTools one-click upload, auto-deploy |
| Can't design a database | Just tell AI what your data looks like |
| No money for a server | CloudBase has free quota — zero cost early on |
Lao Mo's story shows something that's happening right now: tools are no longer the bottleneck.
CloudBase turns deployment and backend into a few clicks; AI turns code-writing into describing needs in Chinese. When these two barriers are leveled, what decides who builds a good product is no longer "can you code" but "do you have a real need you deeply understand."
Lao Mo does. Because she's been knitting for years.
The next person to build a good product might be a baking lover, a fishing fanatic, a paddleboard coach, a pet groomer — anyone who has soaked deeply enough in a field they love.
Technology was never scarce. People with ideas are.
