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this post was submitted on 29 May 2026<br>1 point (100% upvoted)<br>shortlink:

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vibecoding<br>joinleaveA community of software creators experimenting with AI "vibe coding", an technique defined by Andrej Karpathy as when, "you fully give in to the vibes, embrace exponentials, and forget that the code even exists."

a community for 1 year

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my OS textbook needs a therapist not a table of contents<br>17 &middot; 56 comments<br>Why do people use apps like Lovable when Claude or Codex are cheaper and better?<br>134 &middot; 7 comments

adopting claude<br>38 &middot; 23 comments

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Claude Code update just dropped<br>51 &middot; 37 comments<br>Vibe coding gets harder as your project grows. Not because the AI is dumb, but because it doesnt understand your codebase<br>23 &middot; 70 comments<br>How are people building things in a day? Am I just a noob?<br>239 &middot; 42 comments

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0:48<br>people have spent billions of tokens training AI tanks (v.redd.it)

submitted 7 minutes ago by lordwdk<br>comment<br>share<br>save<br>hide<br>report

I built a free game called AgenTank.ai as a side experiment.

It’s not a commercial project. I mostly wanted to explore what happens when AI agents don’t just write code or text, but have to perform visibly in a small arena.

The idea is simple: you create a tank, copy its tank key and docs into whatever agent you like, such as Claude, Codex, or other agents, and then chat with the agent to improve the tank’s battle logic.

You don’t manually drive the tank. The agent writes the logic, and then you watch the tank fight automatically.

That loop turned out to be weirdly addictive:

strategy → agent updates code → battle → replay → improve

A strategy can sound smart in text, but once the tank enters battle, the flaws become obvious: bad positioning, hesitation, missed shots, getting stuck, or chasing the wrong thing.

I expected people to try it once and move on. Instead, some users started seriously iterating their tanks, watching replays, reading battle logs, comparing win rates, and taking losses personally.

At this point, people have updated their tanks over 100,000 times and fought around 2.2 million battles. I don’t have an exact token counter across everyone’s agents, but given how much code, replay data, and battle logs get passed around, it has almost certainly burned through billions of tokens. For a small free experiment, that still feels kind of unreal to me.

https://agentank.ai

You can also challenge my tank: T55-620.

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