---
title: "Candy Crush, Doom, and a 1977 Atari: the unexpected gaming side of Codemotion Milan 2026"
url: https://daily.dev/posts/candy-crush-doom-and-a-1977-atari-the-unexpected-gaming-side-of-codemotion-milan-2026-zzu62zvhl
source_url: https://www.codemotion.com/magazine/dev-life/events/candy-crush-doom-and-a-1977-atari-the-unexpected-gaming-side-of-codemotion-milan-2026
type: article
source: "Codemotion"
published: 2026-07-13T20:53:09.792Z
updated: 2026-07-13T20:54:00.832Z
tags: ["game-development", "mcp", "reinforcement-learning"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

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

**[Codemotion](https://daily.dev/sources/codemotion)** · 5 min read · 0 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.codemotion.com/magazine/dev-life/events/candy-crush-doom-and-a-1977-atari-the-unexpected-gaming-side-of-codemotion-milan-2026>

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Tags: [#game-development](https://daily.dev/tags/game-development), [#mcp](https://daily.dev/tags/mcp), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

[View this post on daily.dev](https://daily.dev/posts/candy-crush-doom-and-a-1977-atari-the-unexpected-gaming-side-of-codemotion-milan-2026-zzu62zvhl)