DEV Community: Arturas

Myths About AI – What ChatGPT Can Really Do, and What It Will NEVER Be Able to Do

Arturas — Mon, 05 May 2025 06:33:26 +0000

In recent years, artificial intelligence has shifted from a buzzword to a practical tool used across industries — from marketing to medicine, from coding assistance to customer support. And at the center of much of this excitement is ChatGPT — OpenAI’s conversational model that has captured the imagination of millions. But with great hype comes great misunderstanding.

Let’s explore some of the most common myths surrounding ChatGPT and AI in general, especially in the context of programming, and clarify what this technology truly can — and cannot — do.

Myth 1: "ChatGPT Can Replace Programmers"

This is probably the most repeated and misleading claim.

Yes, ChatGPT can write code. It can generate Python scripts, debug JavaScript, help with SQL queries, and even build basic full-stack prototypes. For junior-level tasks or when you’re stuck with syntax or logic, ChatGPT is an incredibly powerful sidekick.

But can it replace human developers?

Not even close.

Writing good code is only a fraction of what developers do. Understanding business logic, navigating legacy systems, planning scalable architecture, collaborating with teams, and writing maintainable, testable code — these are human-centric tasks. AI doesn’t “understand” a project holistically. It doesn’t manage edge cases intuitively or make long-term architectural decisions. For now — and likely for a long time — coding is a deeply human process.

Myth 2: "ChatGPT Understands What It’s Saying"

ChatGPT appears smart because it produces confident, grammatically correct, and sometimes even elegant responses. But here’s the uncomfortable truth:

It doesn’t actually know anything.

ChatGPT doesn’t "understand" like humans do. It doesn’t have beliefs, awareness, or intuition. It’s predicting the next word based on patterns it has seen in massive datasets. That means it can sound authoritative while being completely wrong. And in programming, this can be dangerous.

Many developers have blindly trusted AI-generated code only to spend hours debugging nonsense. ChatGPT is a pattern matcher — not a reasoner. That distinction is critical, especially when using it to write code.

Myth 3: "AI Is 100% Objective"

Another misconception is that AI is neutral and objective.

But ChatGPT is trained on human-written text. That means it can inherit biases, stereotypes, outdated practices, and even security flaws that were present in the source material.

When using AI tools for code generation, you should treat its output like any code you’d find on Stack Overflow: useful, but not gospel. Always review, test, and refactor. Blind faith in AI is just as risky as blind faith in any single human coder.

Common Questions About ChatGPT & Programming

Let’s touch on a few recurring questions that often come up, especially among newer developers:

"Can I learn to code using ChatGPT?"Yes — to an extent. You can ask it for explanations, simple code snippets, and even full exercises. But learning to program isn’t just about copying solutions. It’s about building problem-solving habits. This is why structured courses — like those offered by platforms such as CodeAcademy — still play a vital role. They combine practice, feedback, and context, which AI alone cannot fully replace.

"Is it safe to use ChatGPT to write code for my project?"Safe? Sort of. Reliable? Not always. It’s a great way to brainstorm or speed up routine tasks, but never deploy AI-generated code without reviewing it. Think of it as a fast-thinking intern who never sleeps — helpful, but not always right.

"Can ChatGPT teach me best practices?"Sometimes. It can recite best practices — but it doesn’t always follow them. It might give you an outdated method or something insecure if it has seen it enough online. Again: treat AI as a starting point, not a standard.

What AI Can Do Well (Today)

Generate boilerplate code

Help debug error messages

Explain syntax and logic

Translate code from one language to another

Offer project ideas or suggest features

Assist in writing documentation or comments

In short, AI is a productivity booster. It saves time. It offers second opinions. It helps beginners learn and helps pros speed up the boring parts. But it doesn’t eliminate the need for thinking, judgment, or experience.

What AI Will Likely Never Do

Think independently: AI doesn't have goals or intrinsic motivation.

Make ethical decisions: It can’t weigh right vs wrong in complex human contexts.

Understand emotional nuance: Whether in team communication or product design.

Replace deep domain expertise: AI can mimic, but not invent new paradigms.

Truly debug unfamiliar code: It can guess, but not grasp complex intent or historical baggage.

In the same way calculators didn’t kill math and Photoshop didn’t kill design — AI won’t kill programming. It will simply change how we approach it.

Final Thoughts

AI is not coming for your job — but someone using AI more effectively than you might be.

Instead of fearing it, developers (and aspiring ones) should focus on how to work with AI, not against it. Mastering the use of tools like ChatGPT can give you an edge, but only when paired with critical thinking and a solid foundation.

And if you're serious about becoming a developer, don’t rely solely on bots to guide your journey. A structured, human-led learning path like CodeAcademy offers something AI cannot: mentorship, intentional curriculum, and community support.

What Developers Can Learn from Designers

Arturas — Sun, 04 May 2025 07:58:11 +0000

(And Why It Might Make You a Better Coder Than Learning Another Framework)

Let’s be honest — developers and designers haven’t always played nicely.

One lives in the world of logic, syntax, and structure. The other deals in color, flow, and feel. Developers chase performance and function; designers obsess over whitespace and emotional resonance. It’s easy to see why the two camps often stay in their lanes.

But here’s the secret nobody talks about: the best developers steal from designers all the time.

Not pixel-for-pixel, but in mindset. In empathy. In approach.

Because writing good code is only part of the job — making something people actually enjoy using? That’s where the magic happens. And designers get that instinctively.

So, what exactly can developers learn from designers? A lot more than you think.

Form is Function — and Good UX is a Developer’s Responsibility Too Developers often work with the assumption: If it works, it’s fine.

But designers know that’s a trap. If something technically works but feels clunky, confusing, or visually overwhelming, users will say it’s broken — even if it compiles without error.

Designers obsess over user flows, feedback loops, accessibility, contrast, and emotion. As a developer, you don’t have to become a UX pro — but you should learn to spot friction the way designers do.

Ask yourself:

How many clicks does it take?

Is the error message helpful?

Does the UI explain itself without a tooltip?

Design thinking isn’t just about colors and buttons — it’s about empathy, and that’s something every developer should learn.

Iteration Over Perfection If you’ve ever watched a designer work, you’ll notice something: they try 20 things before picking one.

Devs, on the other hand, are trained to seek one correct solution. That works in code logic — but in interface building, product design, and user flows, it can lead to tunnel vision.

Designers prototype early. They throw stuff away. They test how it feels, not just whether it runs. Developers can benefit massively by applying this mindset to frontend builds, onboarding flows, or even API design.

Code is not sacred. The first version is not the final version. That’s a designer’s superpower — and it should be yours too.

Visual Hierarchy: Learn It, Use It Developers often focus on layout as a checklist:

Navigation? ✅

Headline? ✅

Button? ✅

But visual hierarchy is about guiding the eye — and the experience. Designers know how to use scale, spacing, contrast, and typography to make an interface feel natural, not mechanical.

A few key tips developers can steal:

Users read top-left to bottom-right — structure accordingly.

Bigger doesn’t always mean better — spacing creates emphasis too.

Whitespace isn’t empty space. It’s clarity.

Learning a bit of typographic rhythm (line height, font pairings, modular scale) will make your apps instantly feel more polished — without writing a single line of extra code.

Empathy > Efficiency Yes, we know — developers love optimizing. Faster, leaner, DRYer. But sometimes, the most “efficient” solution is actually the most confusing one for users.

Designers are trained to feel what the user feels. They think about:

“What would a person expect to happen next?”

“What happens if the user makes a mistake?”

“Is this interface helping or overwhelming?”

Developers can benefit from the same questions — especially in error handling, form validations, onboarding experiences, and even CLI tools. A well-crafted 404 page or onboarding tooltip often leaves a deeper impression than the speed of your backend.

Code for people, not just performance.

Designers Know the Power of Story Every great product tells a story — not with words, but through flow, interaction, and feedback.

Designers approach problems narratively:

“Where is the user coming from?”

“What do they know at this moment?”

“What do they expect to happen next?”

Developers can use this thinking in:

Designing intuitive APIs (“What would you name this function?”)

Building multi-step forms or flows (Does each step feel like a natural progression?)

Creating error messages (Do they tell the user what to do next?)

The best code is invisible — but the best UX tells a story.

Design Systems: Not Just for Designers Design systems are often seen as Figma playgrounds. But they’re actually a goldmine for developers too — especially those working in teams or scaling apps.

A good design system means:

Reusable components

Consistent spacing, colors, and typography

Predictable patterns

Developers who embrace this can build faster, more maintainable UIs — and collaborate better across disciplines.

Next time you’re tempted to hardcode a random hex value or invent a new button style — check the design system first. Designers are already solving for consistency. Lean into it.

FAQs – What Devs Ask About Designers
“Should developers learn Figma or design tools?”
Yes — not to design, but to understand intent, spacing, and layout logic. You’ll communicate better and build what the designer actually meant.

“I’m backend-only. Why should I care about this?”
Even backend devs write docs, error messages, API responses. All of that benefits from design thinking: clarity, empathy, and flow.

“Do designers even get how hard coding is?”
Some do, some don’t. But here’s the key: if you show respect for their craft, you’ll often get the same in return — and collaboration becomes way smoother.

Final Thoughts: Learn from the Other Side of the Brain
You don’t need to become a designer. But if you want to become a better developer — faster to build, easier to work with, and more user-centered — then design is your hidden superpower.

Think of it like this: code makes things work.
Design makes people want to use them.

If you combine both, you’re not just a coder — you’re a creator.

And in 2025, that’s what the best developers are becoming.

https://fasttrack.lt/

Programmer or Web Designer: Which Path Will Actually Bring You Money, Freedom, and Motivation?

Arturas — Tue, 29 Apr 2025 09:30:55 +0000

When choosing between becoming a programmer or a web designer, many people face the same dilemma: where is it easier to break through, which career brings more money, and which one brings more enjoyment?
The worst mistake? Choosing based on hearsay.
Today, I’ll help you see things clearly: where real opportunities lie — and where empty promises hide.

What Really Lies Behind the Word "Programmer"?
Programming reality isn’t romantic.
It's not sipping lattes at a cozy cafe with a MacBook, as Instagram might suggest. It’s long hours figuring out why your server keeps throwing Error 500. It’s days spent rewriting a single line of code five times.

But!

The average salary of an experienced programmer in the U.S. already exceeds $120,000.

The best developers receive offers from Google, Meta, Tesla — with six-figure contracts.

Programmers can specialize: game development, AI, fintech, crypto, even space technologies.

Programmer = technical strategist.
If you love logic, breaking problems into pieces, system-building, and optimization — this path is for you.

The downside?

High mental pressure.

Burnout is common.
If you would like to learn more about web design, feel free to contact us.
There is an opportunity to study for free.

What’s the Real Life of a Web Designer?
Web design looks flashier at first glance.
Colors, shapes, first impressions.
But today’s web design is no longer just about making things pretty: you must understand UX (user experience), mobile optimization, and behavior-driven design.

If you think you’ll get by just “making things look nice” — you’re wrong.

Real facts:

Designers who combine strong visual skills with UX strategy earn $80,000–$100,000 annually.

Simple "graphic artists" (banner-makers) often earn less than junior programmers.

Web Designer = psychologist with a pencil.
If you care about how people feel on a website, how their eyes move, and you love seeing fast visual results — this path might be perfect.

The downside?

The competition is brutal.

If you don't master UX/UI and the latest tools like Figma or Adobe XD, you can easily be replaced by a $5 freelancer from across the globe.

5 Brutally Honest Questions to Ask Yourself Before Choosing
Do I like solving hard, long-term problems?
If YES → Programmer.

Do I enjoy seeing quick results and playing with aesthetics?
If YES → Web designer.

Am I ready to spend 2–3 years learning seriously before making serious money?
If YES → Programmer (growth takes time).

Do I value creativity and flexibility in projects?
If YES → Web designer (especially in the freelance market).

Am I good at logical thinking and working with abstract concepts?
If YES → Programmer.

Real Salary Comparison (No Fluff):

Profession Average Salary (U.S.) Top Career Salary Freelance Opportunities
Programmer $120,000 $250,000+ High (but hard at first)
Web Designer $80,000 $150,000 Very High (but crowded)
P.S. In other regions like Europe, salaries are lower, but the trends are the same: programmers out-earn web designers by about 1.5–2x.

What No One Tells You About These Careers
Web design is increasingly being automated by AI (AI tools can now generate layouts and page designs).
If you’re "just an artist," AI will replace you quickly.

Programming is also partially being automated by AI,
but solving complex problems, system integrations, and architecture will still need human minds for the foreseeable future.

Bottom line:

Designers must master UX, user behavior, and strategic design thinking.

Programmers must learn system design, architecture, and how to use AI-assisted coding tools.

Conclusion: What Will Actually Help You Decide?
If your strength is creativity, aesthetics, emotional intelligence → Web Designer.

If your strength is logic, structure, system-level thinking → Programmer.

There is no "better" choice for everyone.
There is only the right choice for YOU, based on your talents, passions, and how you like to solve problems.

If you want, I can also create:

a mini "Test: Are You a Designer or a Programmer?" quiz,

2–3 real career story examples to make it even more relatable.

What Will the World of Programmers Look Like in 10–15 Years?

Arturas — Tue, 29 Apr 2025 09:19:28 +0000

Technology is evolving at an exponential pace, and naturally, the programming profession and its skill requirements will change dramatically over the next decade. Which developers will be in demand? Which programming languages will fade away, and which will become standards? What will salaries look like compared to other professions? Let’s dig into the forecasts.

Demand for Developers in 10–15 Years
All major forecasts agree on one thing: the demand for developers will continue to grow. According to the World Economic Forum (WEF), IT specialists will remain among the most in-demand professionals at least until 2040. However, the nature of the work will evolve: less repetitive coding, more solution-building, creativity, integration with artificial intelligence (AI), and systems architecture expertise.

Which Specializations Will Dominate?
Artificial Intelligence (AI) Engineers
AI is already the main driver of technological innovation and will become even more critical in the future. Specialists capable of building, optimizing, and integrating AI systems will be highly sought after.

Cybersecurity Experts
As cyber threats increase, cybersecurity architects, ethical hackers, and systems protection engineers will become even more vital.

Cloud Engineers and DevOps Specialists
With the expansion of cloud computing, managing IT infrastructure will be increasingly critical.

Blockchain Developers
Despite market fluctuations in cryptocurrencies, decentralized applications (smart contracts, tokenization) will steadily grow.

Robotics and IoT Developers
Robotics and Internet of Things (IoT) will spread widely across industries — from healthcare to industrial automation.

Biotech and Healthtech Developers
Bioinformatics and health technologies will become major sectors, requiring highly specialized technical solutions.

Programming Languages: Which Ones Will Decline?
Likely to Decline:
PHP – Already losing market share, likely to become a niche language for maintaining legacy systems.

Perl – Practically vanishing, used almost exclusively for maintaining old systems.

Objective-C – Superseded by Swift, used mainly for maintaining older Apple projects.

Ruby – Though still used (e.g., Ruby on Rails), its popularity is decreasing year by year.

C++ (partially) – Will remain important for certain areas (e.g., gaming, embedded systems) but will decline in general-purpose usage.

Languages Set to Dominate:
Python – Will remain a dominant language due to its versatility (AI, data science, backend, automation).

JavaScript / TypeScript – Will continue to dominate the web and mobile development sectors, with TypeScript growing even faster.

Go – Will rise thanks to its simplicity and performance in cloud computing and server technologies.

Rust – Valued for its security and performance; likely to become the standard for safe systems programming.

Kotlin – Will remain a major choice for Android and backend development as a modern alternative to Java.

Swift – Will continue dominating iOS/macOS development.

Interestingly, SQL and other database query languages will remain crucial, as the world’s appetite for data shows no signs of slowing down.

What Will Developer Salaries Look Like?
According to current projections:

Average Developer Salary Worldwide by 2035–2040 will be about $120,000–$150,000 per year (with the U.S. market already approaching these levels).

Highly Skilled Specialists (AI engineers, blockchain architects) could earn $200,000+ annually.

Junior positions will also see salary growth, although not as sharply as senior roles.

Compared to other professions:

Developers will earn on average 2–3 times more than healthcare, education, or service sector workers.

Only top executives (C-level) and some financial sector professionals will consistently out-earn senior developers.

Interesting Facts
90% of the world’s existing code has been written in just the past two years.

Over 65% of developers learn at least one new language or technology each year.

AI already writes about 5–10% of certain types of code automatically, but humans are still needed for optimization and integration.

According to GitHub, TypeScript project growth in 2024 was the fastest in platform history.

By 2035, it’s expected there will be a shortage of about 85 million IT professionals worldwide.

Answers to the Most Popular Programming Questions
Will programming jobs be automated?
Not entirely. Simple tasks will be automated, but creative problem-solving, system architecture, and AI training will remain firmly human domains.

Which language is best for long-term career growth?
Python, Go, TypeScript, and Rust. These languages are growing rapidly and have very broad applications.

Is it worth starting to learn programming in 2025?
Absolutely. The IT market will have a high demand for at least another 20 years. New specializations only expand opportunities.

What skills will matter more than knowing specific languages?
Problem-solving ability, working with AI tools, teamwork, and the ability to learn new technologies quickly.

Conclusion
A career in programming by 2040 promises to be even more crucial and profitable than today. However, to remain competitive, continuous learning, adaptability, and specialization in high-growth areas like AI, cloud computing, and cybersecurity will be essential.

https://codeacademycollege.com/