Evaluating Agentic Code Repair Capabilities in Distributed Systems
LLM-based coding agents have advanced rapidly on single-process SWE tasks, with frontier models now clustering in the high-70s on SWE-bench Verified. Distributed-system debugging, however, remains an under-explored regime: bugs span processes, nodes, and protocol interactions, with root causes rarely recoverable from source alone and brute-force exploration intractable across non-deterministic interleavings. This leaves two gaps in LLM and agent evaluation: no code-repair benchmark targets distributed-system bugs, and no controlled study isolates how much externally provided debugging context changes agent success on them. We introduce DDBench, a code-repair benchmark of 60 historical bug...
| Authors | Yibo Yan, Huijuan Wang, Junzhou He et al. |
|---|---|
| Primary category | cs.SE |
| Published | 14 August 2026 |
| Last updated at source | 14 August 2026 |
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