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sergiopaniego 
posted an update 1 day ago
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If you have a github repo, you basically have an RL training environment

We're introducing Repo2RLEnv (built by @AdithyaSK ), a tool that mines PRs, commits, CVEs and turns them into verifiable sandboxed tasks with real reward signals, automatically

Outputs to Harbor spec so you can plug it straight into RL training or coding-agent eval

> repo: https://github.com/huggingface/Repo2RLEnv
> collection with envs: https://huggingface.co/collections/AdithyaSK/repo2rlenv-verifiable-rl-environments
sergiopaniego 
posted an update 2 days ago
victor 
posted an update 4 days ago
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422
Sharing how I built the LongCat-Video-Avatar 1.5 Space (+500k views on X) in one agent session. Gave a coding agent its own AI lab on ZeroGPU, framed the goal, walked away. It designed, deployed, tested against the live API, fixed, shipped.

Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
sergiopaniego 
posted an update 5 days ago
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9875
Harness, Scaffold, Context Engineering, Agent... do you actually know what they mean?

We wrote an AI agent glossary and tried to make sense of it all with simple definitions and real examples

↓ go read it ↓

https://huggingface.co/blog/agent-glossary
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