RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades
Coding agents are increasingly deployed in real software development, where a single version iteration requires months of coordinated work across many files. However, most existing benchmarks focus predominantly on single-issue bug fixes from Python repositories, with coarse pass/fail evaluation outcomes, and thus fail to capture long-horizon, multi-target development at real engineering scale. To address this gap, we present RoadmapBench, a benchmark of 115 long-horizon coding tasks grounded in real open-source version upgrades across 17 repositories and 5 programming languages. Each task places the agent on a source-version code snapshot and provides a multi-target roadmap instruction r...
| Authors | Xinbo Xu, Ruihan Yang, Haiyang Shen et al. |
|---|---|
| Primary category | cs.SE |
| Published | 15 May 2026 |
| Last updated at source | 19 May 2026 |
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