QIQI

I don't know if this works for everyone or only for me. First of all, I think when AI coding tools first became popular, the biggest excitement was that anyone could build software without years of programming experience. But after experimenting with these tools, I think the hardest part has shifted. Writing prompts is becoming easier. The real challenges are:

• Knowing what to build

• Turning an idea into a product users actually need

• Debugging unexpected problems

• Making the app reliable enough for real users

AI can help you create a prototype quickly, but building a real product still requires product thinking, iteration, and understanding users. I m curious about people who have used AI coding tools to launch something:

What was the biggest bottleneck after your first version was built?

A few years ago, the biggest challenge for building a software product was usually technical skills.

Today, with AI coding tools, someone with limited coding experience can create a functional MVP in days or even hours.

But I m starting to wonder if the bottleneck has simply moved somewhere else.

Building is becoming easier, but: