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Why AI coding assistants stop you learning
Reading a correct answer feels like understanding it. The two come apart weeks later, when the code breaks and none of it is truly yours.
The step that does the learning
Writing the line yourself is what builds the skill. An assistant removes that step and leaves everything around it in place, which is why a session with one still feels productive. You read the answer, it makes sense, you ship it. Six weeks later it breaks and you are reading it for the first time.
None of that makes assistants bad. It makes them a tool with a specific job.
What you keep and what you do not
- You keep the code. That part is real and it arrived faster than you could have typed it.
- You keep a vague sense of the shape of the solution.
- You do not keep the ability to produce it again, because you never did produce it.
The gap only shows up when the tool is not open: in a review, in an outage, in an interview, or in a file the model gets wrong and you cannot tell.
It names what your code is actually doing, asks the one question that gets you to the fix, and stops. You type the line.
When the assistant is the right call
- The deadline is real and it is today. Learning is not an emergency tool.
- The code is throwaway. A prototype you will delete does not deserve a lesson.
- You already know the material cold and you are just saving keystrokes.
Outside those, the question worth asking is whether you want the code or the ability. Both are legitimate. They cost different amounts of time and leave you with different things.
The cheap test
Close the tool. Write the same thing again from memory. If you cannot, you did not learn it, and nothing about how the first version felt changes that.