AI article
Long-Horizon Agents: Why Multi-Turn Reasoning Breaks and the Practical Training Tricks That Fix It
Community description: Why multi-turn agents fail past step 20, why most RL rollouts give zero gradient, and the tricks that fix it: CISPO, difficulty filters, gated rewards.
Dev.to | Oct 3, 2026 | Aleksei Romanov
Automated excerpt
Almost every modern language model looks impressive on a two-step demo. Polar Proxy: A non-invasive proxy that records tool traffic between real agent wrappers (like Claude Code or mini-SWE-agent) and the model during training. 1. Once a model solves a task every time, that task ceases to teach it anything.
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