"Vibe coding" misled a huge number of people.
Not because experimentation is bad, but because the term blurred the line between exploration and engineering.
If this had been framed as generative coding, much of the damage wouldn't have happened.
"Generative coding" clearly implies:
- the code is produced, not understood by default
- human review and engineering judgment are required
- outputs are starting points, not finished systems
"Vibe coding", on the other hand, suggested:
- intuition over fundamentals
- skipping architecture and tests
- chaos as a virtue
- senior engineers just "wing it"
In reality, what looks like "vibes" in experienced engineers is:
- pattern recognition
- hard-earned mental models
- failure anticipation
- selective discipline
Vibes are fine for:
- rapid experiments
- throwaway prototypes
- creative exploration
But the moment code is:
- shared
- deployed
- depended on
- scaled
vibes must stop and engineering must start.
Language matters.
We didn’t just popularize a workflow, we normalized a misunderstanding.
Calling it generative coding would have set the right expectations.
Calling it vibe coding did not.
#vibecoding #vibecode #generativecoding #gencode
ALT Split-screen illustration comparing two coding approaches. Left side shows a chaotic workspace with neon colors, floating code fragments, tangled wires, and a developer coding instinctively amid visual noise and confusion. Right side shows a calm, structured environment with clean lighting, modular code blocks, architecture diagrams, passing tests, and version control symbols, where a developer thoughtfully reviews AI-generated code. The contrast emphasizes chaos versus reproducibility, intuition versus engineering discipline, and the importance of human oversight.