SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution
Real-world software must continuously evolve to meet ever-changing and open-ended requirements. AI agents, increasingly deployed as long-running systems, are now entrusted to drive this evolution. Yet, existing benchmarks evaluate agents on isolated, one-off coding tasks, neglecting the temporal dependencies and technical debt inherent in real-world software evolution. To bridge this gap, we introduce DeepCommit, an agentic pipeline that reconstructs verifiable Milestone DAGs from noisy commit logs, where milestones are defined as functionally cohesive development goals. These executable sequences enable SWE-Milestone, a benchmark that evaluates agents on streams of milestone-level tasks,...
| Authors | Gangda Deng, Zhaoling Chen, Zhongming Yu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 13 March 2026 |
| Last updated at source | 21 July 2026 |
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- DeepCommit-ai/SWE-Milestone-dataDataset · cited by
- DeepCommit-ai/SWE-Milestone-logDataset · cited by
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