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ProductWebBench: Evaluating Website Continuity Beyond Task Completion
Jiajun Wu, Jian Yang, Yaxin Du, Shukai Liu, Linzheng Chai, Tuney Zheng, Wei Zhang, Haitao Yang, Yan Bai, Yihang Lou, Xianglong Liu, Bryan Dai

ProductWebBench: Evaluating Website Continuity Beyond Task Completion

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Frontend coding agents are usually graded on one question: did the requested target get built. Real engineering changes carry a second obligation, because the rest of the site has to keep working. We call that second obligation website continuity, and introduce ProductWebBench, a benchmark that scores both on living frontend repositories: 320 Change tasks over existing code and 80 long-horizon Build tasks. Every task freezes a repository snapshot, staged requirements, browser evidence and deterministic checks before evaluation, and enters only once a reference passes every check and plausible-wrong ones fail. A simulated user reveals the requirements one stage at a time, and every check cleared earlier stays armed for the rest of the run. Across 8,737 runs from 13 models the two come apart: of the Change runs passing every requested-work check, 28.2% still fail a continuity check -- a blank route, horizontal overflow, console errors -- and 10.8% push a browser state they had already passed back to failing. Because the same checks also run on the untouched repository, each regression carries exact provenance, not a post-hoc label: on the 586 runs where both readings exist, 18.3% are caught breaking a verified state. Interaction is a further blind spot, failing in 29.5% of runs whose static DOM already passes. ProductWebBench therefore scores a patch against the living system it lands in, not the target alone.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title ProductWebBench: Evaluating Website Continuity Beyond Task Completion
Author / Organization Jiajun Wu, Jian Yang, Yaxin Du, Shukai Liu, Linzheng Chai, Tuney Zheng, Wei Zhang, Haitao Yang, Yan Bai, Yihang Lou, Xianglong Liu, Bryan Dai
Subject & Discipline cs.SE
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-264304
Original Source Link Visit Source Page on arxiv.org »