Artificial intelligence has changed software development faster than almost anyone expected. Tools like AI coding assistants can generate entire applications, fix bugs, write documentation, and even explain unfamiliar programming languages in seconds.

For experienced developers, AI has become an incredibly productive assistant.

For beginners, however, there is an important question that deserves serious thought:

If AI writes most of the code, who will remember how to code in the future?

The answer could shape the next generation of software engineers—and the future of technology itself.

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AI Is Changing Programming Forever

Just a few years ago, programmers spent hours searching documentation, debugging syntax errors, and writing boilerplate code.

Today, AI can:

• Generate complete functions
• Create websites from text descriptions
• Explain programming concepts
• Convert code between languages
• Write SQL queries
• Detect security vulnerabilities
• Generate unit tests
• Optimize performance
• Produce documentation automatically

Tasks that once took hours can now take minutes.

This is a tremendous productivity boost, but it also creates a new dependency.

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The Calculator Effect

Many educators compare AI coding assistants to calculators.

Before calculators became common, students memorized multiplication tables and learned long division by hand.

Today, many people cannot perform complex calculations without a calculator.

Programming may follow the same path.

Future developers might understand what they want software to do while relying on AI to produce the actual code.

That raises an important concern:

Will developers lose the deep understanding needed to solve problems when AI gets it wrong?

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Coding Is More Than Writing Syntax

Many people think programming is simply typing code.

It isn’t.

Professional software engineering involves:

• Problem solving
• System architecture
• Data modeling
• Security planning
• Performance optimization
• Debugging
• Testing
• Understanding business requirements

AI can generate syntax, but understanding why the code works remains a uniquely human strength.

Without that knowledge, developers may struggle when applications become large or complex.

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What Happens When AI Makes a Mistake?

AI often produces code that appears correct.

Sometimes it is.

Sometimes it isn’t.

Common issues include:

• Hidden security flaws
• Inefficient algorithms
• Memory leaks
• Incorrect assumptions
• Poor scalability
• Outdated programming practices

An experienced developer can recognize these problems quickly.

Someone who has never truly learned programming may not notice them at all.

That’s why understanding programming fundamentals remains essential.

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The Risk of Losing Institutional Knowledge

Programming languages evolve.

Frameworks come and go.

Technology changes every decade.

The people who understand the underlying principles become the experts who keep critical systems running.

Many industries still rely on software written decades ago.

Banks.

Hospitals.

Government agencies.

Manufacturing.

Transportation.

Someone still has to understand those systems when they fail.

If future generations depend entirely on AI, fewer developers may possess the expertise required to maintain this infrastructure.

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AI Will Change the Role of Programmers

The software engineer of 2035 may look very different from today’s developer.

Instead of writing every line of code manually, programmers may spend more time:

• Designing systems
• Reviewing AI-generated code
• Testing applications
• Improving security
• Managing AI workflows
• Integrating multiple services
• Verifying correctness

Programming may become less about typing and more about engineering.

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Should New Programmers Still Learn to Code?

Absolutely.

Learning programming teaches far more than syntax.

It develops:

• Logical thinking
• Problem-solving skills
• Algorithm design
• Debugging techniques
• Computational thinking
• Attention to detail

These abilities remain valuable whether code is written by humans or generated by AI.

Developers who understand the fundamentals can work with AI instead of depending entirely on it.

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The Future May Reward Hybrid Developers

The most successful software engineers are likely to combine traditional programming knowledge with AI expertise.

They will know:

• How to prompt AI effectively
• When AI is wrong
• How to improve generated code
• How to design reliable systems
• How to solve problems AI cannot

Rather than replacing programmers, AI may elevate those who understand both software engineering and artificial intelligence.

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Will Anyone Remember How to Code?

The answer is almost certainly yes—but probably fewer people than today.

Just as most drivers no longer know how to repair their own engines, future software developers may not write every line of code themselves.

However, there will always be demand for experts who understand the foundations of computing.

Complex systems still require human judgment.

Security still requires human oversight.

Innovation still requires creative thinking.

AI is changing how we build software, but not why we build it.

The programmers who continue learning the fundamentals while embracing AI will likely become the leaders of tomorrow’s technology industry.

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Final Thoughts

Artificial intelligence is transforming software development at an unprecedented pace. Coding assistants are making developers faster and more productive, but they also introduce a new challenge: ensuring that the next generation understands the principles behind the code they create.

The future is unlikely to belong to programmers who reject AI—or to those who rely on it blindly. Instead, it will favor professionals who can combine solid programming fundamentals with the speed and efficiency of AI tools.

In the years ahead, the question may not be whether AI can write code. It may be whether enough people still understand that code well enough to build secure, reliable, and innovative software. Those who master both worlds will be best positioned to shape the future of technology.