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Web Development + AI — Teskvral

Not every developer needs AI.
Some already do.

This is for people who have written enough code to know where the friction is — and want to use AI tools deliberately, not experimentally.

Developer working at a computer in a focused environment

Where technical skill meets practical AI use.

Structured learning for developers who want to ship faster, not just learn more.

Oksana Fediv, frontend developer
Oksana Fediv Frontend Dev
Daryna Koval, full-stack developer
Daryna Koval Full-Stack Dev

What shifts when the work starts clicking

Before this, I was using AI like a search engine — pasting errors and hoping. After the first three weeks I started writing prompts that actually shaped the output.

Week 3 shift Oksana Fediv — React developer, 2 years experience

The thing that surprised me was how much time I saved on code review. Not because AI did it — because I learned to structure code so it was easier to review myself.

Workflow change Daryna Koval — full-stack, building her first SaaS

The method

Taught by people still writing production code

Every lesson is built from actual projects — not curated examples. The instructors here have shipped things that broke in production and fixed them.

That context changes what gets taught. You learn to handle edge cases, not just happy paths.

Developer reviewing code on screen in a professional workspace

Code-first explanations

Concepts introduced through working code, not slides. You read it, run it, then modify it.

Paced for real schedules

Modules are built for 6–8 hours a week. Not a sprint, not a passive watch-through.

Feedback that points forward

Reviews focus on what to do differently next time, not just what went wrong this time.

The arc

How the experience tends to unfold

This is not a fixed timeline. But there is a recognisable shape to how people move through it.

1

Disorientation, then grounding

The first module asks you to build something before you feel ready. That gap is intentional — it shows you exactly where your gaps are.

2

The first thing that actually works

Somewhere around week four, you ship something small that uses AI in a way that saves you real time. That moment reframes the rest of the course.

3

Slower, deeper, more deliberate

The middle section is harder. You are building things that require decisions, not just instructions. Most people say this is where they learned the most.

4

A portfolio that shows what you can do

The final project is yours to define. It becomes the clearest signal of what you are capable of — to employers, clients, or yourself.

Student working through a coding challenge on laptop

Cumulative skill growth by phase

Phase 1
22%
Phase 2
48%
Phase 3
74%
Phase 4
96%

Who this is for

Some people get a lot out of this. Others do not.

Teskvral has been running since 2017, and the clearest pattern is this: the people who stay are the ones who already have a project in mind when they start.

If you are still figuring out whether you want to build things, this is probably not the right fit yet.

Developer reviewing project plans on screen

Likely a good fit if you

Have shipped at least one small project, even a personal one Use AI tools already but feel like you are guessing at prompts Want to move from freelance work to product work, or vice versa Can commit 6–8 hours per week without it feeling like a sacrifice Prefer reading documentation over watching tutorial videos

Probably not the right time if you

Have never written a function in any language Are looking for a course that does the thinking for you Need a guaranteed job placement or a specific outcome timeline Want to learn AI tools without building anything with them Are not comfortable with ambiguity in project requirements

What you will need going in

Basic HTML, CSS and at least one scripting language A code editor you are comfortable opening every day An idea — even rough — of what you want to build Patience for things that do not work on the first attempt Access to a stable internet connection and a modern browser