How We Work

We've refined our process over two decades. AI makes us faster, but experience is what makes the software right.

"We don't bolt AI onto an old process. We built an entire methodology around it — from requirements to architecture to code to testing."

— Boris Katok, Founder

Our 4-step development process: Discovery, Architecture and Planning, Development, Delivery and Support
1

Discovery

We start by understanding your business, not jumping to code.

Business Understanding

What problem are you solving? What does your workflow look like today? Who are the users? What do they need?

Scope & Priorities

We identify scope, priorities, and constraints. The output is a clear requirements document and project scope that everyone agrees on.

This is where 20 years of experience matters most. We've seen what works and what doesn't.

2

Architecture & Planning

We design the system before writing code.

Technical Design

Database design, API design, component architecture. We use AI-accelerated planning reviewed by senior engineers.

Adversarial Review

An adversarial review phase challenges every decision. The output is a detailed technical plan with no ambiguity.

17

architectural errors caught on a recent project before writing a single line of code

3

Development

We build in iterative cycles with regular check-ins.

AI-Accelerated

AI-accelerated coding with human oversight on every decision.

Comprehensive Testing

Unit tests, integration tests, and real-world validation on every feature.

Full Visibility

You see working software early and often. No black-box development.

AI makes us faster, not sloppier. We write more tests, not fewer.

4

Delivery & Support

We deploy, train, and stand behind the software.

Production Deployment

We deploy to production infrastructure and train your team on the new software. You own the code — no lock-in, no hostage situations.

Ongoing Support

Ongoing support and maintenance is available. Bug fixes, feature additions, scaling — we're here when you need us.

Everyone has access to AI tools. The difference is the experience that tells us where the problems are. AI without experience produces plausible software with hidden defects. AI with experience and the right process produces production-quality systems at speeds that weren't possible before.

Ready to start?

Let's talk about your project and how we'd approach it.