Microsoft's FrogNano: a 4B coding agent trained purely with RL, no frontier distillation
DimitrisPapail · x · 2026-09-10
A Microsoft report shows a competitive 4B coding agent, FrogNano, trained on roughly 1,500 software engineering environments with no distillation from a frontier model at any stage.
- Post-trained purely with RL on synthetic tasks, targeting agents that run on minimal machines
- The report credits online task synthesis as the key ingredient: a pipeline that continuously generates training tasks
- Result: competitive small coding agents without a frontier backbone or teacher
A significant reference for compute-constrained teams and agent training methodology.
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