Learning When and How to Intervene: A Hindsight-Distilled Sentinel for Coding Agents
Coding agents solve repository-level tasks through sequences of actions, where a single erroneous action can misdirect subsequent decisions and increase recovery costs. Existing approaches use execution feedback for recovery or specialized checks to block errors, but deciding before execution whether intervention will benefit eventual task completion remains challenging. To address this challenge, we propose HiSentinel, a hindsight-distillation framework that trains lightweight 0.6B and 1.7B sentinels to select pre-execution interventions aimed at improving task completion rather than correcting every imperfect action. A privileged teacher uses recorded execution outcomes as evidence for ...
| Authors | Jiangrui Zhao, Chenglong Li, Meng Zhang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 30 September 2026 |
| Last updated at source | 30 September 2026 |
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