Autopilot Does Not Teach You How to Drive

AI became useful before I had time to form a proper opinion about it.

It simply arrived and became better than me at many of the programming tasks I least wanted to do.

Mostly frontend code.

I do not miss writing endless interface boilerplate. I am not nostalgic for moving a button twelve pixels, fixing one responsive layout, then breaking another one by breathing near the CSS.

At this point, I see AI as something close to an IDE: not magic, not a replacement for understanding, but increasingly difficult to ignore if you want to work efficiently.

The problem is that people exaggerate what AI can do because many of them do not understand machine learning or neural networks.

The model does not understand the world the way we do.

It produces its best guess and presents it with enough confidence to make us wonder whether we misunderstood the world instead.

That is useful.

It is also dangerous.

I do not think AI teaches programming.

Saying that would be like claiming autopilot teaches you how to drive.

A tool is most beneficial when the person using it already understands the task well enough to recognize when the tool is wrong.

Beginners should be careful with AI until we reach a point where programming concepts are universally understood and AI writes code the way a compiler translates a language into machine instructions.

We are not there yet.

Today, it can give you working code before you understand why it works, which is a very efficient way to borrow technical debt from your future self.

Local AI matters to me for another reason.

It is one of the few parts of the AI ecosystem that individuals can still build at their own scale.

You can invest in hardware.

You can run open models.

You can experiment with open harnesses.

You can create useful systems without owning a data center or having several billion dollars available for “research.”

That matters because we should not allow a small group of wealthy companies to gain an irreversible advantage over the entire technology industry.

Local AI is not only a hobby.

It may be one of the best technical investments an individual can make right now.

AI has probably made me ten times more productive.

But that does not mean I now need to produce ten times more work.

The weight of the work has shifted.

Less time writing every line manually.

More time deciding what should be built, checking whether it is correct, connecting systems, understanding consequences, and fixing the confident nonsense generated along the way.

So the real challenge is not keeping up with AI’s speed.

It is becoming at least twice as intelligent myself.

Not by thinking faster.

By developing broader knowledge and better judgment.

Because the machine can generate more than I ever could alone.

Someone still has to know whether any of it is a good idea.