Imagine: you spent six months learning web development, proudly added "knowledge of HTML/CSS" to your resume, and you get a message: "Sorry, we are looking for a specialist with experience in prompt engineering and LLM fine-tuning." Sound familiar? The IT market is changing faster than new frameworks are released on JavaScript (and that's damn fast). Let's figure out where a beginner developer should go so that in a year's time they won't be sitting on forums asking "why am I not getting hired?"
Web development: "The good old frontend is dead," they said in 2015
Spoiler alert: it's not dead. Web development in 2026 is like McDonald's: everyone says it's harmful and outdated, but people still flock to it. Why? Because businesses need websites and web applications. Always. Yesterday, today, tomorrow.
But (and this is a big "but") web development has changed. If earlier you could easily create landing pages on jQuery and get paid decent money, now you are expected to know React/Vue/Svelte/whatever-they-invented-this-week, be able to work with GraphQL, understand the architecture of microfrontends and, get this, integrate AI into interfaces. Yes, yes, the web now also uses AI.
✅ Pros:
A huge job market, you can work remotely even from Bali, a relatively low entry threshold to start. Open the browser, write the code, refresh the page — voila, the magic works.
❌ Cons:
the wildest competition among juniors, the constant need to learn new frameworks and tools, salaries at the start can be so-so. And there's also the eternal "can you do it like in Figma, but better and with animations that are smooth on all devices."
🎯 Who is it for:
those who like to see the result of their work right now, are ready to constantly learn and are not afraid of the phrase "cross-browser compatibility".
Mobile development: when you have more power in your pocket than the Apollo 11 had
Mobile in 2026 is like getting to a party where everyone is already drunk enough, but has not yet gone to bed. The market is no longer as hyped as in 2015, when every second startup was making an "Uber for walking dogs," but it is stable and solvent.
Modern mobile development is not just a "food ordering app". It's AR/VR for trying on clothes, it's fintech apps with biometrics, it's smart homes in your pocket, it's AI assistants that understand the context. And yes, all this works on the smartphone in your pocket.
There are three ways: native development (Swift for iOS, Kotlin for Android), cross-platform (Flutter, React Native), and newfangled solutions like Kotlin Multiplatform. The choice depends on whether you want maximum performance or the ability to quickly cut MVP for two platforms.
✅ Pros:
less competition among juniors compared to the web, decent salaries already at the start, the ability to work with cool technologies such as CoreML and ARKit. Your apps are seen by millions of users in the App Store and Google Play.
❌ Cons:
You need to learn the specifics of the platforms (and there are two of them), deal with the ever-changing requirements of app stores, and work with large code bases. And these damn checks in the App Store, which can take a week.
🎯 Who is it for:
perfectionists who like to optimize performance to the last millisecond, those who are ready to learn long and systematically, and people with the patience of a monk (because compilation and deployment in stores is meditation).
AI development: "I created a robot that creates robots"
And this is where the fun begins. AI in 2026 is no longer just a buzzword on a resume. This is a trend that is devouring the labor market like Pac-Man dots on a map. ChatGPT, Midjourney, Cursor, Claude (hello!) — all of this has changed the industry forever.
But let's be honest: AI development is not some separate area in a vacuum. Rather, it's a superstructure built on existing specializations. You can be an AI engineer who trains models, you can be a developer who integrates AI into products, you can be a prompt engineer, you can make RAG systems for business.
The main feature of AI development is that it requires an understanding of both the web and the backend, and often mobile. Because an LLM itself is useless without an interface, without a data storage system, without the right architecture.
✅ Pros:
huge demand and sky-high salaries for those who really understand, the opportunity to work on the technologies of the future, rapid development and the constant emergence of new tools. You are literally at the forefront of technological progress.
❌ Cons:
high entry threshold (you need mathematics, machine learning, knowledge of Python), a rapidly changing ecosystem (what was relevant yesterday is outdated today), you need powerful servers for experiments. And there are ethical dilemmas in every project.
🎯 Who is it for:
those who like to solve complex problems and are not afraid of mathematics, experimenters who are ready to constantly try new things, people with an analytical mindset.
So what to choose? Spoiler: everything at once (but in turn)
Here's the thing — in 2026, the boundaries between the directions are blurred more than ever. The front-end developer now needs to understand AI to integrate smart components. A mobile developer is working on features with machine learning on the device. An AI engineer creates web interfaces for his models.
Therefore, the strategy is as follows: choose the main direction where you will start, but keep your hand on the pulse of the others. Started with the web — learn the basics, do projects, but at the same time look at how to integrate the OpenAI API. If you go into mobile, make apps, but study CoreML and TensorFlow Lite. If you choose AI, learn Python and models, but don't forget about web frameworks for deploying your solutions.
The most important thing is don't get stuck in tutorial hell. Do you know this guy who took 47 courses on React, but never wrote a single real application? Don't be like him. It's better to learn by doing real projects.
💎 Learn effectively with Kodik
By the way, if you are at the stage when you want to learn effectively and with practice, then there is a cool app Code. There you can learn programming immediately with practical tasks - no water, only code and real tasks. You start with the basics of Python, JavaScript, HTML/CSS and gradually level up to the point where you can do real projects. It's convenient to study in the subway, on the couch, and interactive exercises are more engaging than YouTube videos.
And we also have Telegram community, where more than 2,000 developers hang out. Useful posts, task reviews, and discussions of new technologies are published there every day. It's a way to keep your brain in shape and repeat programming in a convenient format — while you're standing in line or drinking your morning coffee. Come on in, join us!
P.S. Whatever you choose — AI, web or mobile — the main thing is not to stop. The IT market is cruel, but it is fair: those who constantly learn and do will always find their place. Even if this place includes all three directions at once. Welcome to 2026, baby! 🚀