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Ex-Meta Engineer's Dog Accidentally Codes Game by Walking on Keyboard

Ex-Meta Engineer's Dog Accidentally Codes Game by Walking on Keyboard

April 21, 2026
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The threshold for AI programming is being redefined once again as "atmospheric programming" cases continue to multiply. Caleb Leak, a former Meta research engineer, recently shared an amusing experiment: he successfully taught his 9-pound Corgi, "Momo," to develop a fully functional game using Claude Code.

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To enable this "canine coding," Caleb devised a precise hardware and algorithmic workflow. Momo provides input by randomly tapping a Bluetooth keyboard connected to a Raspberry Pi 5. This signal is processed by a small program called "DogKeyboard" for filtering before being sent to Claude Code. To motivate Momo to keep "creating," the system automatically dispenses treats from a smart feeder whenever a preset amount of text is entered.

The experiment's core challenge was how the AI could interpret random code. Caleb crafted highly specific prompts for Claude, framing it as an eccentric genius designer who communicates only in extraordinary ways. He informed Claude that the random keystrokes contained a hidden, brilliant game concept. Using automated feedback tools like screenshot analysis, scene validation, and shader verification, Claude successfully transformed these random characters into a playable game within one to two hours.

Momo's latest creation is titled "Quasar Saz." In this game, players assume the role of Zara, battling with a cosmic string instrument. The game was built using the Godot 4.6 engine, with 100% of its logic code written in C#. It features six levels, boss battles, and impressive graphics and sound effects.

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