The New Reality
"Don't prepare for a world that no longer exists"
Traditional training has become obsolete at breakneck speed. Following study plans designed years ago for a market that changes every week isn't inefficient—it's dangerous for your career. AI isn't just another tool; it's the new substrate on which software is built.
The industry has already changed. The market too. Have you?
Nostalgia is Poison
Writing HTML, CSS, or JavaScript from scratch, character by character, is no longer "purism". It's inefficiency.
Current reality indicates that the first artifact will not be written directly by a human, but by an AI agent.
For nostalgics, this sounds like heresy. For the market, it's the norm.
Your value no longer lies in typing divs by hand. A machine does that a thousand times faster and without syntax errors.
Your value lies in knowing what to ask for, how to audit what you receive, and how to assemble it into the right architecture.
If you want artisanal romanticism, go to a museum.
The Collapse of Tutorial Hell
Most current training commits a cardinal sin: it prepares you for a professional reality that ceased to exist in 2023.
They keep teaching the "classic stack" and tack on an AI module at the end, as if it were a topping, an extra, a curiosity. But the job market says the opposite: AI isn't the cherry on the cake; it's the flour, the oven, and the baker.
AI isn't an add-on, it's the foundation, the operating system. Learning without it at the center is optimizing yourself for irrelevance.
If they're teaching you as if it were 2022, they're selling you a ticket for a train that no longer runs.
Why Me
I'm an active software engineer, specialized in generative AI. Every day I work in environments where AI is the core, not an add-on. I see what works and what doesn't.
I'm also a professional educator. I've taught web development at university for years. I know how learning works because I've studied it and applied it with hundreds of students.
I have skin in the game.
My method is what I use. My teaching is what I do.
The Science is Clear
We've known for over three decades how human learning works, but the EdTech industry ignored it because applying scientific principles was impossible.
Until today.
Zone of Proximal Development
Vygotsky, 1978
You learn best when you face challenges slightly above your current level, with precise guidance.
The 2-Sigma Problem
Bloom, 1984
Personalized tutoring improves performance by 2 standard deviations above the average. AI makes this scalable.
Spaced Repetition
Ebbinghaus, 1885
Memory is consolidated through distributed practice over time, not in intensive single sessions.
Deliberate Practice
Ericsson, 1993
Excellence comes from specific, intentional, focused practice with immediate feedback, not passive repetition.
Immediate Feedback
Hattie & Timperley, 2007
The faster the feedback after an action, the stronger the learning. Waiting days for code review is absurd.
Testing Effect
Roediger & Karpicke, 2006
Actively recalling information strengthens memory much more than simply re-reading the material.
The Extinction of Traditional Programmers
We're witnessing a bifurcation. On one side, "Vibe Coding": programming by intuition, pasting AI snippets until it "works", creating unmanageable technical debt.
On the other, AI-Assisted Engineering: using AI as a force multiplier on a solid foundation of fundamentals.
The traditional programmer who refuses to adapt will eventually disappear. The "Vibe Coder" will create garbage software.
The AI-Assisted Engineer is the one most likely to thrive.
"I've never felt this much behind as a programmer. The profession is being dramatically refactored... Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it. Roll up your sleeves to not fall behind."
"75% of the people on our engineering team lost their jobs here yesterday because of the brutal impact AI has had on our business."
Product Engineer: The Evolution
Frontend. Backend. The distinction is blurring.
The professional the market needs now is called the Product Engineer: someone with complete product vision, able to move across the entire stack, with AI as a permanent copilot.
It's not a full-stack developer from the old days. It's a new profile: architect, auditor, and conductor of AI agents.
But without fundamentals, you're not a Product Engineer. You're a Vibe Coder: someone who asks ChatGPT for code, crosses their fingers, and prays it works.
Developer cosplay.
Fundamentals are not optional—in fact, they're more important than ever.
Friction is Necessary
Real learning is uncomfortable. Fighting with a problem, failing, retrying, and finally understanding creates robust neural pathways. Watching someone else solve it doesn't.
You don't need pre-cooked solutions. You need friction, to be challenged, to be forced to think.
That's how skills that last are forged.
One Man Army
A single person, AI-assisted and with a solid architectural foundation, is now more powerful than an entire department was five years ago.
A dangerous individual in the best sense.
If you have ideas, creativity, and judgment, this is the best time in history to be a web professional.
The execution barrier has collapsed.
The Greatest Professional Opportunity of Your Life
Resistance is stupid; the market will run you over.
But passive acceptance is equally suicidal. Standing by and watching is dying slowly.
The only viable attitude is to go ALL IN.
It's not about "using AI tools". It's about fusing your workflow with them.
About having the humility to learn again from scratch.
About fully committing to the new reality.