Looking for a 12-week course that ends in a six-figure job for doing the bare minimum?
Close this tab. You're two years too late, and AI already does that work for a fraction of a cent.
People are nervous right now, and they have every reason to be. Snap laid off a thousand people this April and pointed straight at AI as the cause (Forbes covered the broader trend here). Salesforce, Meta, and Duolingo have made similar cuts over the past year, and open any tech newsletter and you'll find another company quietly trimming the same kind of roles: junior, repetitive, the sort of work a model can finish before lunch.
A few years back, the path into tech was simple. Learn a few tools, get the basics down, find a seat somewhere reasonable. That path is mostly gone now, and the roles built around it are exactly the ones being cut.
So is tech dead? Not even close.
What the layoff headlines miss is that the same companies firing people are also struggling to fill other roles. The bar moved. It didn't disappear.
This post is about why the opportunity is still there, and how to get good enough that companies come looking for you instead of the other way around. Let's dive in!
Why Companies Are Firing and Hiring at the Same Time
If so many people are out of work, why do recruiters keep saying they can't find anyone?
Because the skills people picked up in 2022 don't match the work that exists in 2026. The market is full of developers who can write code by the book – and the book was written for a world without Copilot, Claude, and Cursor. Tech moves fast enough now that what you learned a year ago is half-stale today, and most people haven't built the kind of coding instinct that keeps up with that pace.
This is why learning to code has to be a daily thing, not a bootcamp you finish and forget. Companies want people who understand code deeply enough to look at an AI-generated function and notice the logic is wrong before it ships to production. That's the actual job in 2026: catching the bug the model didn't catch.
The people getting hired right now? They treat coding like a hobby they actually enjoy. They poke at problems on weekends, they argue with the AI when it gives them something off, and occasionally they build things that don't really need to exist just to see if they can. That kind of tinkering is how the instinct gets built, and the instinct is what companies are paying for.
What "AI Replacing Jobs" Actually Means
The phrase gets thrown around like AI is firing people directly. It isn't. The work is changing shape, and roles built around the old shape are disappearing.
AI is fast and tireless. What it doesn't have is judgment. It can produce ten versions of a feature in a minute, but it can't tell you which one your users actually want, or why the third one will quietly break in production six months from now. It also won't push back when a product manager asks for something that sounds reasonable but will tank the database.
So the work splits roughly in half. AI handles the volume – boilerplate, first drafts, refactors, tests. The human handles the judgment: what to build, why it matters, where it'll break, how it fits the bigger system. The people losing roles were doing volume work. The people getting hired can direct the volume.
If that distinction makes sense to you, you're thinking about this the right way.
What the Job Actually Looks Like Now
A few things worth knowing before you commit.
Degrees matter less than they used to. A solid GitHub and a few projects you can talk about will often get you further than a CS diploma from a school nobody's heard of – though plenty of larger companies still filter on credentials, so it depends where you're aiming.
Pay for engineers who clear the new bar has held up well, even as junior roles thinned out. Remote work is normal. And there's a flavor of this career for almost every kind of brain – frontend, backend, infrastructure, ML, data — so you don't have to like all of it to find your corner of it.
The catch? You'll always be learning something new, and the first few months can feel like staring at a wall written in another language. But if the idea of getting a little sharper every week sounds appealing rather than exhausting, the rest tends to take care of itself.
A Better Way to Learn the Craft
Learning to code used to be brutal. You'd spend a Saturday hunting a missing semicolon, or read a 600-page book before writing anything that worked. Most people quit before they ever built something they cared about.
That part is mostly gone. AI catches the typos and small logic errors that used to cost you a weekend, which means you can stay in flow and actually enjoy the process. Practice-based learning is more useful now than it's ever been, because the friction that used to kill momentum is finally low enough to push through.
The 20-Minute Habit
You don't need to grind ten hours a day. Really, you don't.
The people getting good at this in 2026 are the ones who show up for twenty minutes daily and treat it like a crossword puzzle — small, consistent, kind of fun.
Twenty minutes a day for a year is over a hundred hours of focused practice. That's not bootcamp territory, and it's not meant to be. The point is that the logic settles in gradually. You stop memorizing patterns and start recognizing them, which is the difference between someone who can write code and someone who can read it.
The Best Time to Start Is Now
Most people put this off because they think the moment passed. It didn't. Tech doesn't reward people who started early — it rewards people who keep showing up. Curiosity and consistency beat credentials, and that was true before AI. It's just more obvious now.
The industry isn't closed off to a specific age, background, or story. It's open to anyone willing to build the habit. And the easiest way to build a habit is to make the first session ridiculously small — twenty minutes, one lesson, today.
So, what are you waiting for? Try Coddy's coding courses and start the streak before this tab closes.
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About the Author
Jana Simeonovska
Content Strategist & Writer
Frequently Asked Questions
Is it too late to get into tech if I didn't start years ago?
Not at all! While the industry is changing, there is still a huge need for talent. The standard path of just learning a few tools is over, but companies are still looking for people who can think and solve problems. If you are willing to adapt and learn how to work alongside AI, you are right on time.
Will AI take away all the junior developer jobs?
AI is replacing repetitive work, like writing basic code or finding simple mistakes. However, AI cannot understand human problems or business goals. The industry is moving to people who understand the logic behind the code. If you focus on the "why" and not just the "how," you will always have a place in tech.
Do I still need a university degree to work in tech in 2026?
No, a degree is less important than it used to be. In the modern tech world, your work and your projects matter more than a diploma. If you can show a company how you think, how you solve logic puzzles, and how you build things, you can get hired without a university background.
Is learning to code easier or harder now that we have AI?
In many ways, it is more enjoyable! In the past, you could spend a whole weekend looking for a single missing semicolon. Now, AI tools give you instant feedback and find those small mistakes for you. This means you don't get stuck for days, and you can focus on the fun part: building things and solving problems.
I’m very busy – how much time do I really need to spend learning?
You don’t need to study for 12 hours a day. In fact, binging for hours often leads to burnout. The most successful people in 2026 treat coding like a 20-minute daily habit, similar to a crossword puzzle. By showing up for even five minutes a day, you build momentum that is much better for your brain than trying to cram everything at once.
