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The provider frames the goal in engagement terms. BGaming says the rivalry makes the game feel more personal, drawing players in and inviting them to pick a side, creating the potential for longer play sessions and building streamer appeal. Streamer visibility in particular rewards recognizable characters and on-screen drama, which is where the voiced duel format is designed to pay off.

the studio took two of its most recognizable characters and brought them together

BGaming’s product chief tied the release directly to prior results. Julia Alekseeva, CPO at BGaming, said duel slots have proven to be a hit in the past, with titles like Clash of Gods Power Duel driving strong engagement, so the studio decided to take this further with Johnny vs Chicken. She added that the studio took two of its most recognizable characters and brought them together in what she called the ultimate BGaming IP showdown.

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“Why not use the dataset I already have on gambling sites to map the most problematic ones, identify how they are connected and build a deeper picture of the networks behind them?” That thought process eventually gave birth to Trace2Trace.

Trace2Trace is relatively new, but Madsen says its underlying dataset has already grown to around 620,000. And it continues to grow, highlighting the scale of illegal operations in the gambling industry.

“We receive around 7,000 domains a day on average through the lists we monitor, including new and cloned sites,” he explains.

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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.

“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.