๐—ฉ๐—ถ๐—ฏ๐—ฒ ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฆ๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐—”๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜, ๐—ก๐—ผ๐˜ ๐—•๐˜†๐—ฝ๐—ฎ๐˜€๐˜€ ๐—ฉ๐—ฎ๐—น๐—ถ๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป

AI helps you build fast. You describe a feature. AI writes the code. You ship it. This works for prototypes.

Problems start when you treat a prototype as finished. Working code is not production code.

AI code hides risks:

Speed is the trap. Generating a feature in 20 minutes makes you want to skip tests. Writing by hand forced you to think. Now you must think on purpose.

Top teams keep their standards high. They still review architecture. They still check dependencies. They still scan for security. Speed increases. The quality bar stays.

AI is a start. It is not the finish line.

How do you validate AI code? Is it different from human code?

Source: https://dev.to/dimitrisk_cyclopt/vibe-coding-should-accelerate-development-not-bypass-validation-9b1