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Candy Crush, Doom, and a 1977 Atari: the unexpected gaming side of Codemotion Milan 2026

Three talks from Codemotion Milan 2026 explore the intersection of gaming and modern tech. Carolina Pinto (King/Candy Crush) argues that game design principles around onboarding, trust, and retention can teach AI product teams how to build better user experiences. Enzo Lombardi demonstrates connecting Claude to a 1977 Atari VCS via MCP and a Go-based emulator, reverse-engineering assembly code to build an AI opponent. Stefano Fiorucci (deepset/Haystack) challenges the 'bigger is better' AI narrative by training a 1-million-parameter ModernBERT model to play Doom on a CPU in milliseconds, using supervised fine-tuning and reinforcement learning.

    #game-development#mcp#reinforcement-learning
Jul 13•5m read time•From codemotion.com
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Who writes the code when machines write the code? Andrey Breslav at Codemotion Milan 2026Carolina Pinto: what Candy Crush can teach AI productsEnzo Lombardi: when AI meets a 1977 AtariStefano Fiorucci: a 1-million-parameter model that plays Doom
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