AI Engineering in Action: How Diffco Is Rethinking the Way Companies Scale

A Behind-The-Scenes Look At How Diffco Approaches AI Engineering To Help Companies Move Beyond Experimentation And Build Systems That Truly Scale

By Evan J. Cholfin

When I sat down with Vadim Peskov for this episode of AI SPEED, I expected a conversation about engineering, infrastructure, and the mechanics of building with AI. What I did not expect was how quickly the discussion evolved into something far more foundational: a rethinking of how companies themselves grow, adapt, and survive in an AI-driven world.

Most people think about AI in terms of tools or features layered onto existing products. But this episode is not just about implementation. It is about architecture—both technical and organizational—and what it actually takes to scale a company when AI is not an add-on, but a core capability.

What struck me most in our conversation was the idea that engineering is no longer just a support function. It is becoming a strategic driver of business outcomes. The way teams are structured, the way systems are designed, and the way decisions are made all begin to shift when AI enters the equation at a fundamental level.

We also explored a question that feels especially relevant right now: what separates companies that successfully scale with AI from those that struggle to move beyond experimentation? In Vadim’s view, it comes down to more than just talent or technology. It is about discipline—how you build, how you iterate, and how you align engineering with real business needs.

Another theme that stayed with me was pragmatism. There is a lot of noise in the AI space right now—hype, overpromising, and a race to adopt without fully understanding the implications. Vadim brings a different perspective. One grounded in execution. One that emphasizes building systems that actually work in the real world, not just in demos.

This episode explores what it really means to scale with AI, how engineering teams are evolving in response to new demands, and why the companies that succeed may not be the ones moving the fastest—but the ones building the most thoughtfully.

If you care about how AI is reshaping the way companies operate, the realities of engineering at scale, or what it takes to turn AI from an idea into infrastructure, I think you’ll find this conversation worth your time.

Because the future of AI may not just be about what we build.

It may be about how we build it.

🎧 Listen to the Episode

🎥 Watch the Conversation