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cs.AI2026
Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
Lin Shi, Haowei Lin, Zixuan Zhu +123
Evaluating agents on the growing number of agentic benchmarks is challenging because they often require complex environments and agent integrations. We introduce Harbor Adapters, a…
cs.SE2026
Choosing Coding-Agent Benchmarks for Practice: Lessons from Task Demands and Agent Behaviour
Radin Shayanfar, Keheliya Gallaba, Ahmed E. Hassan
Software teams evaluating coding agents need evidence that reflects the changes they expect those agents to make. Benchmark scores summarize how often an agent resolves tasks under…