This is a classic example of the Mind Projection Fallacy [1], where a property of how you think is assumed to be a property of reality.
It's true, for humans, that it is simply not possible to be told how to ride a bike and then be good at riding a bike. No matter how carefully and completely you explain to a human what they will have to do, when you put them on a bike for the first time they will struggle.
The mistake is assuming that this "have-to-really-do-it" effect is a limitation intrinsic to bike-riding-knowledge instead of a limitation in human learning and communication mechanisms. The mistake is assuming this property will generalize to all bike riding systems.
In a computer system, what would be tacit knowledge for a human is no longer tacit. If you create a computer program that can successfully control one bike riding robot, that program can be copied to a freshly built bike riding robot of the same make. The new robot will then successfully ride a bike the first time it is placed on it, without any hint of the human "have-to-really-do-it" struggling phase.
It can be intuitively useful to imagine computers as having the ability to "super communicate" in a way that humans simply can't. That has its advantages, and its disadvantages. If you had super communication you could super-explain to a blind person what it was like to see and if they ever did gain their sight there would be no "Oh so that's what you meant" moment. On the other hand, a heroin addict could super-explain being addicted to heroin to you.