The Origin of Vibe Coding

You remember the day you stopped typing every line of code. You started hitting Tab and letting a Large Language Model (LLM) finish your thoughts.

Between 2024 and early 2025, software development changed. We moved from strict syntax to a state of pure flow. Andrej Karpathy calls this Vibe Coding.

Vibe Coding means building software through intuition instead of meticulous design. You no longer write logic line by line. You act as a conductor. You judge the results based on how the system feels and behaves.

This feels like a superpower. Tasks like setting up servers or writing SQL queries take seconds. Individual developers launch products faster than ever before.

But this speed has a trap.

When you delegate code to AI without understanding the fundamentals, your critical thinking drops. You depend on a black box. You get fast code, but you do not know if it stays maintainable.

The Vibe Coding cycle looks like this:

  • Write a prompt to add a feature.
  • Run the code and see if it works.
  • If it fails, copy the error back to the AI and ask it to fix it.

This works for prototypes. It fails for real architecture. This leads to Frankenstein code.

Frankenstein code is a mess of AI fragments stitched together. Each piece solves a small problem, but the whole system lacks a vision.

As your project grows, you see these problems:

  • Inconsistent patterns. The AI uses different styles in every file.
  • Extreme coupling. The AI takes the easy path and breaks module boundaries.
  • Context blindness. The AI forgets existing functions and creates duplicates or new bugs.

The result is a fragile system. No human understands it. The AI cannot change it without breaking everything else.

Vibe Coding made development accessible. It removed boring tasks. But speed without direction leads to technical bankruptcy.

To build scalable systems, you need more than vibes. You need rigor and quality control.

Source: https://dev.to/jcmexdev/el-origen-del-vibe-coding-j00

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