deploy your slop using AI inference
yeet deploys your application using AI inference. That's it. That's the whole thing.
yeet has no arguments and works on the current directory.
The yoten command finds where it was yeeted and delivers the facts about where the slop was slapped and whether it is fire or not.
or if you're old school:
or if you're based:
That's it. yeet will:
- Analyze your project using Claude
- Figure out what kind of slop you're shipping
- Tell you exactly what commands to run to deploy it
- Judge your tech stack (optional but guaranteed)
- Save your deployment URL so you can check if it's fire later
yoten will:
- Find where you yeeted your slop
- Hit that URL
- Determine if it's fire 🔥, mid, or cooked 💀
- Roast you accordingly
- Python 3.12+
- An Anthropic API key (set ANTHROPIC_API_KEY env var)
- The audacity to ship
Q: Does this actually work? A: Surprisingly yes
Q: Should I use this in production? A: That's between you and god
Q: Why? A: Someone tweeted it and I made it real
Q: What platforms does it support? A: Whatever Claude thinks is best. Usually Fly.io, Vercel, Railway, Render, Netlify, or your mom's basement
Q: Can I configure it? A: No. Zero config. That's the whole vibe.
Q: What if it's wrong? A: Then Claude was wrong and you should yell at Claude not me
Q: My deployment failed A: Skill issue
MIT or whatever. I literally don't care. Fork it. Ship it. Yeet it.
PRs welcome if they're funny or actually useful. Preferably both.
- Inspired by this tweet
- Powered by Claude (Anthropic)
- Built with uv because pip is for boomers
- Vibes: immaculate
slop responsibly 🫡
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