USE AI IN ENGINEERING?WE MAKE IT BETTER

97% of software companies already use AI for development. Most are stuck at the same level as their competitors. How do you get into the top 5%?

from chaos → to system
Trusted bySoftonixKeenethicsTemyGenesisITRDev
Does this sound familiar?

You've adopted AI. But the problems didn't go away.

Every developer is their own island

One uses Copilot. Another swears by ChatGPT. A third just discovered Cursor. No shared tooling, no shared practices, no way to scale what works.

Nobody knows what's being sent to AI

Developers paste code, configs, and client data into AI tools daily. Without guardrails, chaotic AI adoption is a security and privacy incident waiting to happen.

AI was supposed to be a game-changer. The metrics say otherwise.

You invested in AI tools, but sprint velocity looks the same. Without proper training, developers use AI at 10% of its potential.

Your best devs are frustrated

They use AI to fly through side projects at home. Then they hit walls at work — no approved tools, no context-aware setup, no workflows. It's killing their motivation.

Investors are asking about your AI strategy

Systematic AI adoption is no longer a nice-to-have. It's a signal of operational maturity that directly impacts how investors evaluate your company.

The Shift

Buying AI tools isn't a strategy. A system is.

Handing every developer a license and hoping for the best is how you end up with five tools, zero shared practices, and a velocity chart that never moves.

Without a system

Five licenses handed out. Everyone improvises.

Velocity flat · risk rising
With a system

Measured, trained, secured, and reinforced.

+47% compounding

We install that system in 4 weeks.

What We Do

The five parts of a working AI system

Each one closes a gap that ad-hoc adoption leaves open — from security to skills to the culture that keeps the gains compounding.

AI Adoption Audit

We assess your current AI tool usage, identify gaps, security risks, and untapped opportunities. You get a score and a roadmap.

AI Tools Selection

We match the right AI coding tools to your tech stack. Cursor, Claude Code, Copilot, Augment, Zed — we know the tradeoffs.

Training for Employees

We train your developers and QA on the tools and workflows that fit your stack — foundations plus advanced tracks. Only 4 hours of developer time.

Metrics & Dashboards

We instrument adoption and velocity so the gains are visible — dashboards that track real impact, not vanity metrics.

Center of Excellence Development

We stand up an internal AI center of excellence — how-tos, never-don'ts, and a self-sustaining community that keeps improving after we're gone.

The Framework

How the 4-Weeks System Works

A proven 5-step system. Only 4 hours of your developers' time.

Step 0 — Start Here

Measure Current AI Adoption

Complete a 3-min automated audit that scores your company's AI adoption level. You'll get a personalized roadmap and a free on-call analysis with our expert.

Start a Free Audit
01Day 1

Strategic Session

60-min free consultation. We listen, assess your situation, and present a tailored roadmap.

02Week 1

Tool Selection

Match AI tools to your tech stack — Cursor, Claude Code, Copilot, Augment, Zed. Security & compliance config.

03Week 2–3

Team Training

AI is not a magic pill. We train your team, show industry best practices, enforce security measures, and provide guidance.

04Week 4

Metrics and Measurement

Results dashboards, velocity tracking, developer community launch. You see the gains in hard numbers.

05Ongoing

Build Community

Self-sustaining knowledge system with internal community, how-tos, never-don'ts, continuous learning loop.

The Results

A measurable curve, not a leap of faith

Real adoption follows a predictable path. Here's what teams see over their first 12 weeks on the system.

Program results
across 32+ engagements
first 12 weeks
1,200+
developers trained
32+
companies
96%
satisfaction rate
47%
avg. velocity gain
Velocity gain by phase
0%
Weeks 1–4
+8%
Weeks 5–8
+47%
Weeks 9–12
Testimonial

What our clients say

We worked with Yaroslav on several AI workshops for our team.

The core value is that he looks beyond the immediate request to the underlying problem we actually need to solve. After working together, we understand how to apply AI to specific business problems.

He also separates real value from hype — he understands the tools deeply, but doesn't propose complex solutions where simple ones are enough.

The team's feedback was that these were some of the most useful workshops we've had: they picked up his way of thinking, the criteria for choosing solutions, and real scenarios for using AI at work.

J
Julia N.
CEO, Affemity

Thank you for the series of AI sessions! They were substantive, practical, and packed with ideas we can apply at work starting today.

A
Alex P.
CTO, KeenEthics

Together with Yaroslav we completely transformed the SDLC our engineering team operates on. The transition was painless, and we significantly improved the metrics we now track — so we always know when something has gone off course.

O
Oleh S.
CTO, SoftLake
Yaroslav Dobroskok
Yaroslav Dobroskok
Founder, NeuryCode
About

I've been building with AI since before ChatGPT existed.

I'm Yaroslav Dobroskok. Back when AI for developers was still a niche research topic, I was a GitHub Insider who beta-tested GitHub Copilot before ChatGPT existed. Seeing the first code autocompletion was my “WOW” moment — and I've dedicated my career to the AI-for-developers niche ever since.

I run a Udemy course on AI-assisted development with 1,000+ students and extremely high satisfaction ratings. I write about AI for devs on my blog, Medium, LinkedIn, and YouTube — breaking down what actually works from what's just hype.

NeuryCode is how I help software companies systematize this. Not as a generic consulting shop — as someone who has lived in this space from day one.

Where I share what works

Udemy1,000+ students, top-rated
LinkedInAI for developers
YouTubeTutorials & breakdowns
Blog & MediumWhat actually works
30
day money-back
Risk Reversal

If it doesn't work, you don't pay.

Unconditional 30-day money-back guarantee. No questions asked.

I've done this with 32+ companies. I know what works — and I'm confident I can deliver for you too.

  • Unconditional — no fine print
  • No questions asked
  • Full refund within 30 days
FAQ

Frequently asked questions

How much developer time does this take?+

Only 4 hours total across the 4-week program. Developers attend 2×90-min sessions (Foundations + Advanced). Tech Leads attend 1×90-min session. That's it.

Which AI tools do you work with?+

Cursor, Claude Code, GitHub Copilot, Augment Code, Zed — and a few more depending on your stack. We select the right fit based on your tech, team size, and security requirements.

How quickly will we see results?+

Teams typically see measurable gains by weeks 5–8, with full velocity gains compounding by weeks 9–12. Weeks 1–4 are the learning and setup investment phase.

What does it cost?+

It depends on your team size and scope. We'll give you a clear, fixed proposal after the free consultation — once we understand exactly what your team needs.

Do you offer a guarantee?+

Yes. Unconditional 30-day money-back guarantee. If you're not satisfied, you get a full refund — no questions asked.

What if our team resists AI adoption?+

That's the most common obstacle, and our training is specifically designed to address it. We show, not tell — once developers see what AI can do in their own workflow, resistance usually flips into enthusiasm.

Still have questions?

Get them answered live — book a free consultation and we'll talk through your team's situation.

Get Started

Ready to enter the top 5%?

Let's find out where your team stands — and what it would take to get there.

4-week programOnly 4 hrs of dev time30-day money-back