What Vibecoding Actually Means

The term “vibecoding” gets used two very different ways. One camp treats it as a punchline — typing vague prompts and accepting whatever an AI spits out, bugs and all. The other treats it as a real discipline: directing an AI collaborator with enough precision and judgment that the result is actually production-worthy.

This site is built around the second definition.

The core idea

Vibecoding is building software primarily through natural-language direction of an AI agent, while still applying the judgment of an experienced engineer — reviewing diffs, running tests, steering architecture, and knowing when to take the keyboard back yourself.

It is not:

• Copy-pasting a single prompt and shipping whatever comes out
• Avoiding code review because “the AI wrote it”
• A replacement for understanding what your system does

It is:

• Describing intent clearly enough that an agent can execute multi-step work
• Staying in the loop as a reviewer and architect, not just a requester
• Using the speed gain to spend more time on design, testing, and edge cases

Why the distinction matters

The tools in our directory are powerful enough to write entire features unsupervised — which is exactly why supervision is the skill that matters now. The bottleneck in software has shifted from typing speed to judgment: knowing what to ask for, how to verify it, and when the agent is confidently wrong.

The rest of this series walks through that skill set in order — starting with how to set up a workflow, then how to prompt for real work instead of toy examples.