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Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.
Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.
Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.
About Gerards Gambit
Chelsea vs. Manchester United (4.30pm GMT kick-off)
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That growth reflects the expanding number and variety of sports contracts. ITF tennis is particularly dependent on official data because its more than 60,000 annual matches are not generally televised. Unofficially monitoring a tour moving between locations such as Bogotá and Bali would be difficult, Monk noted.
Streaming is also becoming part of the product. Monk said prediction market interfaces had moved beyond their earlier trading-led presentation to incorporate streams, player propositions and combinations resembling sportsbook bet builders.
“It was still very much a trading kind of UX,” he said of Kalshi at the beginning of the year. “The actual product offering has come a long way.”