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Alyssa Wu

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#artificial intelligence Review Oct 2026

FeatureArc: Benchmarking Coding Agents on Evolving Features

A software feature usually evolves over time: developers extend its first version as new use cases and requirements arrive, and each extension builds on code written earlier. Most feature benchmarks evaluate a single request on a fixed codebase. Feature evolution requires evaluating successive extensions on an agent's...

Yun-Long Wang, Alyssa Wu, Cui-Yun Gao et al. · 0 citations
Preprint Aug 2026

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists

This work introduces RepoProbe, a novel benchmark for evaluating repository-level code understanding through open-ended Q&A using GitHub Discussions, which focuses on open-ended architectural inquiries rather than defect reporting and proposes a Checklist-Based Verification Protocol that decomposes answers into atomic,...

Yue Yang, Alyssa Wu, Ji Luo et al. · 1 citation

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