Vibecoding vs Traditional Coding
What it is
A side-by-side of the two ways to build software, so you can see what actually changes when you vibecode — and what doesn't. Vibecoding shifts how the code gets written, but it does not remove the need to understand what good software looks like.
Why it works
Framing them as a comparison kills two myths at once: that vibecoding is 'not real programming' and therefore worthless, and that it 'replaces programming' and therefore you never need to understand anything. Both are wrong. Vibecoding moves your effort from producing code to specifying and judging it — a real shift, but judgement about correctness, structure, and security still matters.
When to use it
Reach for vibecoding when speed of building matters more than total control, when you're prototyping or exploring, or when you lack the time or experience to hand-write the whole thing. It's often the fastest path from idea to something you can click.
When not to use it
Lean traditional (or heavily human-reviewed) when you need precise control over every detail, when the codebase is large and interdependent, when the domain is unusual, or when the cost of a subtle bug is high. In those cases the typing was never the bottleneck.
Prompt
I'm deciding whether to build <project> mostly by describing it to you, or to write it more carefully myself with your help. Ask me the questions that determine which fits — around risk, my experience, how standard the app is, and how much control I need — then recommend an approach.Example
A developer building a standard dashboard vibecodes it in an afternoon instead of two days of boilerplate — a clear win. The same developer, writing a custom real-time sync engine with tricky edge cases, writes it mostly by hand with AI help, because here understanding every line is the job, not a chore to skip.
Advanced version
Blend them deliberately: vibecode the standard scaffolding fast, then switch to careful, line-by-line human-plus-AI work for the few genuinely hard or risky parts. Most strong builds are a mix, not a purist choice of one mode.
Common mistakes
- Treating it as an either/or identity ('I'm a vibecoder' vs 'a real dev') instead of two tools for different jobs.
- Concluding that because AI writes the code, you never need to understand code at all — you still have to verify it.
- Using the wrong mode for the risk level: vibing the hard, dangerous parts or hand-writing the trivial ones.