SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution
Large language model (LLM) based agents have demonstrated remarkable proficiency in automated software issue resolution, yet they often struggle to resolve issues in a specific repository because they lack project-specific knowledge. Existing self-evolving approaches acquire such knowledge from repository history or online repair trajectories, but they either depend on available historical issue-resolution signals or incur substantial per-issue test-time exploration cost. In this paper, we propose SkillForge, a self-distillation framework that proactively acquires project-specific knowledge from the repository itself. Instead of waiting for real issues to expose project-specific knowledge...
| Authors | Silin Chen, Han Li, Xiaodong Gu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 19 August 2026 |
| Last updated at source | 19 August 2026 |
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