Recently, I have also been immersed in Vibe Coding.

AI makes coding exceptionally easy, allowing you to piece together a "seemingly complete" system in just a few hours.
That sense of "I can do anything" is very real.

Especially for beginners or those without a technical background,
this external acceleration can easily lead to misjudging your true level of proficiency.

Gradually, I started noticing an abnormal signal:
What truly stalls me is never "being unable to write it,"
but rather, I no longer dare to modify it. 🤦

For tech experts, they might see through architectural issues at a glance;
but for beginners, this is especially deadly.
The大量代码 you generate in 1 hour
often becomes the most difficult technical debt to maintain in the future.

This is also the most dangerous aspect of the "false sense of omnipotence":
it makes you mistakenly believe that you have already mastered the complexity of the system.

Later, I realized a more practical truth:
AI's true leverage may not be to build a grand SaaS from the start,
but to first apply it to the specific, real, and recurring small problems you face.

Instead of pursuing a one-time "doing something big,"
it's better to confirm one thing:
Has it increased the efficiency of one of your own processes by 10 times?

If even the single-point efficiency you use daily isn't amplified,
then this system is most likely just "looking cool."

So recently, I have been deliberately doing this:
getting my hands dirty first, solving those real, concrete problems;
and when I truly dare to use it long-term, modify it repeatedly, and iterate continuously,
then I will consider more grand constructions.

Vibe Coding is not万能,
it amplifies not just coding ability, but our depth of understanding of problems and systems.