Skip to Main Content

Self Supervised task generation for teaching AI Coding Agents to become Recursive language models. You can use *any* open-source (or closed) repository, as long as it has good test coverage. Parts of the repository are removed during training, and the tests for that part act as the verification. Ran out of time - need to explain more, did not have time for demo video. But I am very confident in this idea, I hope I will still be considered. Thank you. My Projects key innovations: - Recursive Language Models training environment, specifically for AI Coding Agents - Self-supervised Task generation - Take any repository that has well-defined tests, and the environment can use that to generate tasks in a self-supervised manner

Team

Placement

Participant

More from OpenEnv Hackathon SF

Kube SRE Gym is a self-improving RL environment where a small language model (Qwen3-1.7B) learns to diagnose and fix real Kubernetes production incidents…

Noclue project preview

RL environment for autonomous biologist agents. Simulate an entire biological worldstate based on scientifically-accurate single-cell standards. Naive agents…

Zero Shot Cancer project preview

ShopRLVE-GYM HF Blog https://huggingface.co/blog/thebajajra/shop-rlve-gym

Lambda project preview

Our agent uses OpenEnv to build a curriculum of video game environments that train a TinyLlama 1.1B agent via GRPO reinforcement learning. We implement three…

Play-gent project preview

GAIA is an OpenEnv-compatible geospatial reasoning environment where an AI agent infers hidden real-world locations using multi-step tool calls (terrain…

drive.google.com/…

Voyager-VRAM is a long-horizon workplace simulator where LLM agents must navigate a realistic office environment ( emails, Slack, shared drive, spreadsheets…

Deepmind Ace project preview