Author

Qi-Jia He

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Jul 2026

CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents

Coding agents increasingly operate in executable environments where a failed attempt produces actionable feedback rather than merely an incorrect answer. Existing cost-aware systems typically treat such failures as cascade decisions: try a cheap model first, then escalate hard cases to a stronger and more expensive mod...

Qijia He, Jiayi Cheng, Chenqian Le et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Sep 2026

What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding Agents

Agent reinforcement learning (RL) increasingly runs through full execution harnesses, and a multi-harness recipe mixes two choices: exposing the policy to several harnesses, and comparing their rewards inside one relative-advantage group. We isolate the second choice in repository-level coding. From one Qwen3-8B superv...

Chen-Qian Le, Jia-Yi Cheng, Qi-Jia He et al. · 1 citation