Ask Claude, ChatGPT, or any AI coding tool to build something, and within minutes you have a working app. Click around, it responds, it looks finished. That feeling, "it works," is exactly where the trap is set.
A demo and a product are different claims
A demo claims one thing: this runs, right now, the way you just clicked through it. A product claims something much bigger: this runs correctly for people who are not you, doing things you did not anticipate, on a day you are not watching. Vibe coding collapses the distance between those two claims, because it is so fast to reach the first one. The problem is the first one was never actually evidence for the second.
What a demo doesn't test
A five-minute walkthrough that feels complete usually has not touched the things that actually break products in the real world. None of it shows up from clicking through successfully, once, on your own machine.
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01
Edge cases
Empty fields, unexpected input, the paths you never happened to click.
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02
Concurrent users
Two people using it at the same time, not just you alone in a browser tab.
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03
Failure handling
What happens when a request fails, not just what happens when it succeeds.
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04
Time
Whether it still holds up next week, with more data than your first test run.
The gut-check before you call it done
Before treating a vibe-coded build as finished rather than as a promising first pass, it is worth running it through three honest questions.
Have you tested the rough version yourself, beyond just watching it run once?
Have you shared it with one honest person who was not involved in building it?
Have you tried to break it on purpose, not just used it the way it was intended?
A demo that works is peak-hype evidence, not real-value evidence. It is the same gap the AI Expectation Curve describes for any new AI capability, just compressed into a single afternoon of building instead of a multi-month news cycle.
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