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AI didn't kill coding. It killed "easy coding" - my 200 h...
Partha Roy · 2026-06-05 · via DEV Community

Should You Still Learn to Code in 2026?

I'm a Computer Science student in Bangladesh.

And honestly, I'm tired.

Every time I open YouTube, someone is screaming that coding is dead.

Every time I open LinkedIn, someone is posting screenshots of AI building entire apps in five minutes.

Every time I sit down to study, another influencer appears and says, "Don't learn programming. AI will do everything."

So should you still learn to code in 2026?

Yeah.

But not for the reasons people told you in 2020.

The world changed.

Fast.

A few years ago, knowing JavaScript was enough to get attention.

Now every teenager with Wi-Fi has access to AI tools that can generate thousands of lines of code before breakfast.

The barrier to entry collapsed.

That doesn't mean coding disappeared.

It means easy coding disappeared.

That's the part nobody wants to admit.

The harsh reality is that AI will kill junior devs but seniors are safe.

People get angry when they hear that.

I don't care.

Look around.

Companies don't need ten interns writing CRUD APIs anymore.

One experienced engineer with AI can do the work of several beginners.

That's happening right now.

Last year I saw a small startup cut development time by nearly 60%.

Not because their developers became geniuses.

Because AI became a force multiplier.

The market noticed.

The entry-level market got hit first.

That's always how automation works.

The boring tasks vanish before the difficult ones.

Another thing nobody talks about is tutorial hell.

I wasted six months of my life watching tutorials.

Six months.

Every day I watched React tutorials.

Node.js tutorials.

Python tutorials.

Machine learning tutorials.

I became a professional video watcher.

Not a programmer.

A video watcher.

I could explain concepts.

I could repeat definitions.

I couldn't build anything useful.

One day I realized I had completed more than 200 hours of tutorials and still couldn't create a simple project without copying code.

That was a painful moment.

Nobody puts that on LinkedIn.

Everyone posts certificates.

Nobody posts confusion.

The internet sells a fantasy.

Learn coding.

Get rich.

Work remotely.

Travel the world.

Drink coffee beside a beach.

Reality looks different.

Reality is debugging the same error for seven hours.

Reality is reading documentation you don't understand.

Reality is questioning your life choices because a missing semicolon destroyed your weekend.

And now AI is making things even weirder.

People assume AI solves everything.

It doesn't.

Let me tell you a story.

A few months ago, I had a bug in a personal project.

Nothing complicated.

A weird authentication issue.

I asked ChatGPT.

It gave me a solution.

Didn't work.

I explained again.

It apologized and generated another solution.

Still broken.

I spent three hours following AI-generated advice.

Three hours.

Finally I found the real problem.

A configuration mismatch hidden in a deployment setting.

AI never identified it.

Not once.

That experience taught me something important.

AI is powerful.

But AI doesn't understand your system.

It predicts answers.

Sometimes brilliantly.

Sometimes horribly.

If you can't code, you won't know which answer is correct.

That's why coding still matters.

Not because you'll manually write every line.

Because you'll need to judge what the machine produces.

Think about calculators.

Calculators didn't kill mathematics.

People still learn math.

Why?

Because pressing buttons isn't understanding.

The same thing is happening with programming.

Coding is becoming less about typing.

More about thinking.

More about architecture.

More about problem solving.

More about debugging.

The funny part is that many students are still preparing for a job market that no longer exists.

They're memorizing syntax.

Memorizing interview answers.

Memorizing frameworks.

Meanwhile AI writes syntax faster than any human alive.

That's a losing battle.

Learn fundamentals instead.

Learn data structures.

Learn system design.

Learn networking.

Learn databases.

Learn how software actually works.

Those skills survive technology shifts.

Frameworks come and go.

Fundamentals stay.

Here's another uncomfortable truth.

Most people shouldn't learn coding.

There.

I said it.

Not everyone needs to become a developer.

If you hate solving problems, coding will be miserable.

If you hate sitting for hours chasing bugs, coding will be miserable.

If you're only here because somebody on YouTube promised easy money, you're late.

That gold rush is over.

The industry is more competitive than ever.

In some regions, applications for junior positions increased by over 200% in a few years.

At the same time, companies are hiring fewer beginners.

Bad combination.

Competition goes up.

Opportunities go down.

That's simple math.

But there's another side.

Software isn't going away.

Businesses still need software.

Governments still need software.

Banks still need software.

Hospitals still need software.

Someone has to understand the systems running everything.

AI won't magically replace all of that.

Especially not the complex parts.

Especially not the parts where mistakes cost millions.

The people who survive will be the ones who understand both coding and AI.

Not one or the other.

Both.

The future developer isn't a code typist.

The future developer is a problem solver with AI assistance.

That's a different job.

But it's still a job.

I know students who spend ten hours trying to optimize prompts.

Meanwhile they can't explain how an API works.

That's dangerous.

You're outsourcing your brain before you've trained it.

Learn the basics first.

Then use AI.

Not the other way around.

One statistic shocked me recently.

A project that once needed a team of five developers can sometimes be handled by two experienced developers using AI tools.

Productivity exploded.

But that doesn't automatically create more jobs.

It often creates fewer.

That's why beginners should be worried.

Seniors should be adapting.

Different situations.

Different risks.

So should you still learn to code in 2026?

Yes.

If you're willing to build things.

Yes.

If you're willing to struggle.

Yes.

If you're willing to learn how computers actually work.

No.

If you're chasing easy money.

No.

If you're expecting AI to do all the thinking.

No.

If you think watching tutorials counts as practice.

The real question isn't whether coding is dead.

The real question is whether you're learning skills that still matter when AI writes 90% of the code.

What do you think?

Originally published on Medium.
Follow me for more unglamorous takes on learning to code.