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BashGym Training Guidance
Finalized training articles for turning coding traces into model runs, choosing methods, reading metrics, and deciding what evidence is strong enough to promote a student.
Backend-dependent DPPO and JEPA-style ECHO/RWML work stays caveated where it affects operator decisions.
From Coding Traces To Training Data
How BashGym turns real coding sessions into SFT examples, DPO pairs, reward records, terminal environments, eval evidence, and RunCards.
Training Methods
When to use SFT, DPO, reward modeling, distillation, GRPO/RLVR, cascade training, and backend-dependent terminal RL paths.
Metrics And Release Evidence
Which metrics tune a run, which prove behavior, and which findings should block promotion before routing work to a model.