SWE-Explore: Benchmarking Repository Exploration as the Binding Constraint in Coding Agents
Shanghai Jiao Tong University
SWE-Explore (arXiv:2606.07297) introduces a benchmark of 848 GitHub issues across 10 programming languages and 203 repositories to evaluate repository exploration — the step before patch generation where an agent must locate relevant code. Classical retrievers (BM25, TF-IDF) perform near random baseline; agentic explorers reach >65% file-level hit rates but only ~15% line-level recall. GPT-5 vs. Gemini swaps shift performance magnitude but not the recall bottleneck, suggesting the limit is exploration strategy rather than raw model capability.
Why it matters
Most coding agent evals measure final patch success, hiding where agents actually fail. SWE-Explore shows the exploration phase is the binding constraint: missing relevant code regions hurts repair far more than including irrelevant context. The 10-language, 203-repo scope makes it more representative than SWE-bench's Python-dominant coverage. Second on HF Daily Papers (77 upvotes).
Importance: 2/5
Second on HF Daily Papers June 9 (77 upvotes); novel benchmark identifying exploration as the bottleneck in coding agent pipelines.