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Peer-Programming a Buggy World with ChatGPT AI

AI has been all the rage lately, with solutions like Stable Diffusion for image generation, GPT-3 for text generation, and CoPilot for code development becoming publicly available to the masses.

That excitement ramped up this week with the release of ChatGPT, an extremely impressive chat-based AI system leveraging the best GPT has to offer.

I decided last night to take ChatGPT for a spin, to test its code-generation capabilities. And I was astonished by the experience.

Together, we built a simulation of bugs foraging for food in a 100x100 grid world, tracking essentials like hunger and life, reproducing, and dealing with hardships involving seasonal changes, natural disasters, and predators. All graphically represented.

Read about our journey

Screenshots of our sessions

Video demo

View the code

About Me

Hi, I'm Christian Hammond. I build the open source, extensible, multi-SCM Review Board code review product over at Beanbag.

You can find me in a few places:

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A collaborative attempt between ChatGPT and myself to create a simulated bug world

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