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Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

13sheep.netlify.app

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Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

#1

Post by neeldhara »

13 Sheep is a quick roll-and-write game designed by Moritz Dressler, intended for one or more players. By drawing fences on a grid, players try to protect as many sheep as possible before the wolf comes. I reproduced the rules in an online experience, allowing for additional user customization compared to the pen and paper version. A lot of the code comes from a conversation I had with chatGPT.

Here's a blog detailing the prompts used in the conversation with chatGPT: https://www.neeldhara.com/blog/13sheep/

Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT
13sheep.netlify.app

Re: Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

#6

Post by 8organicbits »

The chat log is very helpful.

> I think I spent close to a good twelve hours (including a couple of early throw-away prototypes, and all the failed attempts on the flood filling) altogether2… at some point it did get a little addictive, and perhaps there was a sunk cost argument for not letting go halfway through.

Also very helpful, I get the sense that we're seeing lots of cherrypicked results that under report all the toil needed to get to the magic prompt that made it all work. Maybe we'll all get better at prompt engineering, but I think a lot of hype is based on that misunderstanding.

Re: Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

#7

Post by neeldhara »

sublinear wrote: post #4

[flagged]

I suppose some of the design choices were guided by the prompts chatGPT got from me, so to be fair I’d be to blame for confusing design. I figure the best way to get the hang of the rules was to play a couple of throwaway games — they are quick to play. However if you can share any suggestions for making the experience more intuitive, please let me know, I’d be happy to try making it better :)

Re: Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

#8

Post by TechBro8615 »

This reminds me of a game from the 1990s, but I don't remember the name of it. It involved something with rats and cheese and drawing walls to keep them from it. Does anyone remember this game?

EDIT: I think I'm remembering Rodent's Revenge: https://en.wikipedia.org/wiki/Rodent%27s_Revenge

Re: Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

#9

Post by sublinear »

neeldhara wrote: post #7
sublinear wrote: post #4

[flagged]

I suppose some of the design choices were guided by the prompts chatGPT got from me, so to be fair I’d be to blame for confusing design. I figure the best way to get the hang of the rules was to play a couple of throwaway games — they are quick to play. However if you can share any suggestions for making the experience more intuitive, please let me know, I’d be happy to try making it better :)

Ok you got me I was kind of being a jerk, sorry. Main thing was being prompted to "read the rules first" and then not being able to figure out what to do after about 30 seconds. Brutal, but realistic test of many games.

Re: Show HN: 13Sheep – a JavaScript game largely authored by ChatGPT

#10

Post by neeldhara »

8organicbits wrote: post #6

The chat log is very helpful. > I think I spent close to a good twelve hours (including a couple of early throw-away prototypes, and all the failed attempts on the flood filling) altogether2… at some point it did get a little addictive, and perhaps there was a sunk cost argument for not letting go halfway through. Also very helpful, I get the sense that we're seeing lots of cherrypicked results that under report all…

Thank you! Indeed, it’s still a fair amount of back and forth, and would have probably been even more frustrating if I didn’t know anything at all about HTML/CSS/JS. I think it’s been pointed out in other contexts that the AI tools can be substantial boost on top of some elementary code literacy, but it will still involve effort (both on the prompt engineering as well as verification and subsequent nudging).

All that said, the experience still felt empowering… in particular, I am not sure that I’d be able to pull this off on my own in a comparable — or even, say, double — the amount of time. So that’s a win overall, I suppose!

Also glad you found the logs useful. Thanks again for taking a look :)

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