๐—ฉ๐—ถ๐—ฏ๐—ฒ ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ป ๐— ๐—ฎ๐—ถ๐—ป๐˜๐—ฎ๐—ถ๐—ป ๐—ถ๐—ป ๐—ฆ๐—ถ๐˜… ๐— ๐—ผ๐—ป๐˜๐—ต๐˜€

The first version of your code almost always works. You describe a tool in one sentence. Two minutes later, it runs in your browser. It feels like magic.

Then the second moment happens. You ask for one small change. The model rewrites half your file. Suddenly, the parts that worked before are broken.

This is the gap between useful code and trash.

I build applications using natural language. I use Next.js and Supabase. After one year, I learned one thing. The bottleneck is not typing code. The bottleneck is how you describe requirements and how you read the output.

Vibe coding is a bad name. It implies you just guess and hope. Real success requires precision. The clearer your first prompt, the fewer rounds you need.

Avoid these common mistakes:

If you ask a model to change a date format in a 400-line file, it might break three other things. It rewrites more than it needs to.

Follow these rules to stay productive:

If you do not understand a line, ask the model to explain it. This investment of five minutes saves hours of debugging later.

Watch out for security risks. A model might write code that works but lacks security. It might skip data protection rules. It works in a demo, but it fails with real users.

Vibe coding works best for:

It becomes difficult when systems become large and critical. You still use AI, but you need an experienced developer to guide the process.

Vibe coding does not just make programming faster. It changes who can build software. If you know your problem well and learn these disciplines, you can build real solutions.

Specify clearly. Work in small steps. Read your code. Know your limits.

The tool does not decide the result. You do.

Source: https://dev.to/mgundlach/vibe-coding-das-man-in-sechs-monaten-noch-anfassen-kann-b1j

Optional learning community: https://t.me/GyaanSetuAi