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Bootstrap n’a pas fait de vous un développeur. L’IA non plus.

Vous vous souvenez de l’arrivée de Bootstrap ? Tout le monde pouvait « faire un site ». Quelques classes, un copier-coller, et ça marchait. Jusqu’au jour où il fallait sortir du cadre : personnaliser un composant, corriger un bug d’affichage, comprendre pourquoi ça cassait sur mobile. Là, ceux qui n’avaient jamais appris le CSS se retrouvaient bloqués. Et tous les sites finissaient par se…

Do you recall the arrival of Bootstrap? Everyone could "make a website". A few classes, a copy-paste, and it worked. Until the day when it had to break out of the framework: customize a component, fix a display bug, understand why it broke on mobile. There, those who had never learned CSS found themselves stuck. And all the sites ended up looking the same.

With AI, we play the same scene again. It quickly produces something that looks like it works. Without expertise, one cannot judge if it is good, just, or appropriate. When it goes off track, one does not know how to detect or fix it. And the results end up all looking the same: generic, smooth, interchangeable.

Bootstrap evolved: version 5 removed jQuery, added CSS variables, and dark mode. But to properly customize, one still needs to understand what one is touching. AI follows the same path. Models progress, tools improve, but expertise remains necessary. It is not a replacement for competence, it is an amplifier. And an amplifier does not make miracles: it amplifies what is already there, good or mediocre.

The real question is not "should I use AI?", but rather: "Do I know enough to know when it is wrong?" Learn the fundamentals. Use AI on top. Don't replace it.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

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