FrogNano: a 4B coding agent trained purely on online-synthesized tasks

FrogNano is a 4B SWE agent trained entirely by RL post-training on ~1,500 environments with synthetically generated tasks; tasks are synthesized online at each checkpoint, calibrated to the current learnability frontier, with no distillation from larger models. The result is a competitive compact coding agent trained on a self-generated curriculum.

The recipe removes the teacher-model dependency from small coding-agent training: environments plus online task synthesis at the learnability frontier replace distillation. For edge/local coding agents this is a cheap, self-generating training loop.