In the news
CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- CoTrace method improves terminal agents by matching training trajectories to the runtime harness that will execute them, advancing Qwen3.5-9B from 78 to 90 solved tasks.
- Why it matters
- Matters for engineers building autonomous agents that interact with terminals or APIs, where the execution environment affects model performance and generalization.
- Watch out
- The approach requires careful alignment between training and evaluation harnesses; mismatched runtimes cause procedural breakdowns, limiting out-of-distribution transfer capabilities.
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