AI-Native Development Team

Senior Engineers Who
Lead AI, Not Just Use It

That project you shelved because it was a 6-person, 12-month commitment? Two AI-native senior engineers can deliver it in a fraction of the time and cost.

2xOutput vs Average
76Tickets in 4 Months
<2%Revert Rate
The New Math

Projects That Were Too Expensive Are Now Viable

Every company has projects they shelved — not because the idea was bad, but because the math didn't work. That math has changed.

Shelved Products
Revive projects that were too expensive
Ideas that died on cost alone. The business case was sound, but the development estimate killed it. With AI-native teams, projects that needed 6 devs now need 2.
Legacy Modernization
Finally tackle that technical debt
Every company has technical debt they can't afford to address. The refactor everyone knows is needed but nobody can budget for. AI-native teams make these projects economically viable.
MVP & Product Validation
Build it right the first time
Startups that couldn't afford to build v1 properly — shipping on duct tape because a real build was too expensive. Get production-quality MVPs at startup-friendly costs.
The Difference

Traditional vs AI-Native Teams

This isn't one developer with GitHub Copilot. This is a structured, multi-AI pipeline with human expertise as the quality layer on top.

Team size for equivalent output
6 developers
2 senior AI-native leads
Engineer role
Writing code line by line
Leading AI, architecture, quality
Full-stack capability
Rare — usually specialists
Standard — AI enables cross-stack
Handoff overhead
High (FE ↔ BE coordination)
Low — single engineer delivers both
Ramp-up time
Weeks to months
Days — workflow already running
How It Works

AI as a Team Member, Not Just a Tool

Most teams are experimenting with AI. Ours is running it in production — at scale, with a proven workflow across a 61-person AI-augmented development team.

1

AI Generates Code

Claude writes production code across full-stack features — not autocomplete, real implementation.

2

AI Reviews Code

GPT provides a second-opinion review layer, catching different classes of issues than the first AI.

3

Senior Engineers Lead

Human developers make architectural decisions, maintain quality standards, and orchestrate AI output.

4

Full-Stack Delivery

One engineer handles both frontend and backend layers, eliminating handoff delays entirely.

Proven at Scale — Real Metrics

Single senior AI-native lead output over 4 months (Nov 2025 – Mar 2026)

22,865

Lines of Production Code

in 4 months

42%

Full-Stack Tickets

spanning both codebases

1:3.6

Bug-to-Feature Ratio

building, not firefighting

3.6x

Velocity Increase

Nov to March

The key distinction: Our engineers aren't being replaced by AI — they've been promoted by it. They now focus on architecture, code quality, and decision-making. That's a higher-value team, not a cheaper one.

Our Team

The Engineers Behind the Work

Senior engineers with deep expertise across the full stack. Every project is led by people who architect, build, and ship.

Oliver Arunović

Oliver Arunović

System Engineer, Senior Developer

Backend, Middleware

System DesignBackendWebMobileMiddleware
Igor Kostić

Igor Kostić

System Engineer, Senior Developer

System Design

System DesignBackendWebMobile
Đorđe Ilić

Đorđe Ilić

System Engineer, Senior Developer

System Design

System DesignBackendWebMobile
Aleksandar Predojević

Aleksandar Predojević

Tech Lead, Senior Developer

Backend, Middleware

System DesignBackendWebMobileMiddleware
Ivan Dulić

Ivan Dulić

Tech Lead, Senior Developer

Web, Mobile

BackendMiddlewareWebMobile
Uroš Nikolić

Uroš Nikolić

Tech Lead, Senior Developer

Web, Mobile

BackendMiddlewareWebMobile
Balša Mirković

Balša Mirković

Tech Lead, Senior Developer

Web, Mobile

BackendMiddlewareWebMobile
Ready to Start?

Unlock Your Shelved Projects

Have a project that was too expensive to justify? Let's talk about how AI-native development can change the math and make it viable.

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