2026-06-15

cubeia

Cubeia’s Road to AI-Assisted Code: Chapter One

We’ve set ourselves a bold target: all new features and releases written by AI by August.

It started with a pattern in our Jira logs. During a routine salary review, COO Stefan Grenstad noticed that a handful of mid-level developers were suddenly outperforming the seniors, not by a little, but by nearly 60% of total output. The reason was AI.

That insight shaped a strategic shift. If AI could already multiply individual output by that margin, the question wasn’t whether to adopt it, it was how fast we could make it the default.

The business case is straightforward: triple our development output without tripling headcount. For a company competing in a market where speed to market is everything, standing still isn’t an option.

On the technical side, CPO Fredrik Ernander is using Claude as the primary LLM, with tools like UX Pilot AI and v0.dev for prototyping and interface design. The shift has already compressed feedback loops dramatically, features that used to spend two weeks in a sprint can now ship, get tested, and be iterated on the same day.

Human oversight remains central to the process. Code review is critical, particularly as AI-written code is integrated alongside our platform‘s existing architecture. The bigger challenge now isn’t coding time, it’s defining scope and how new features interact with legacy systems.

This is the same platform that earned us recognition from EGR for Platform Excellence and Platform Provider of the Year at the AffPapa iGaming Awards LATAM 2025. AI doesn’t change what we’re building, it changes how fast we can build it.

iGaming Business covered the story in full. Read it here.

Want to see what Cubeia Nano can do for your operation? Let’s talk.