Vibe coding versus "real" programming: do you need to know how to code?
The short answer: for simple things you do not need to, but for lasting and important ones it pays to understand the basics.
What AI really makes easier
The barrier to entry has dropped. A website prototype, a simple automation or a tool for your own use are now within reach of people who have never studied programming. You can focus on the idea rather than the syntax.
What AI does not take off your shoulders
- Knowing what you actually need: requirements and constraints.
- Judging the result: whether it is correct, secure and convenient.
- Fixing things when they do not work and the model goes in circles.
- Responsibility for user data and security.
The minimum worth knowing
- What the structure of a web page looks like: HTML, CSS and JavaScript.
- What a variable, a function, a condition and a loop are.
- What a configuration file and environment variables are.
- The basics of Git, that is, how to undo changes.
- How to read error messages, which we cover in the text on debugging with AI.
Refactoring: cleaning up after fast work
A project built "by feel" quickly grows and gets tangled. This is where refactoring helps, meaning tidying up code without changing how it works: splitting it into smaller functions, using clear names, removing repetition. You can ask the model to do it, but do it in small steps and check after each one that everything still works.
Two approaches, one scale
At one end is vibe coding: quick prototypes where the result is what counts. At the other is careful programming with an assistant, in which you understand and verify every change. Where you land on the scale depends on the stakes: the more there is to lose, the closer to the second end. More in the text on what vibe coding really is.
