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A recent paper from ETH Zürich evaluated whether these repository-level context files actually help coding agents complete tasks. The finding was counterintuitive: across multiple agents and models, context files tended to reduce task success rates while increasing inference cost by over 20%. Agents given context files explored more broadly, ran more tests, traversed more files — but all that thoroughness delayed them from actually reaching the code that needed fixing. The files acted like a checklist that agents took too seriously.
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第76期：《求购Space X、Neuralink老股；转让持有Shein、OpenAI的基金份额｜资情留言板第76期》
values with gamma correction applied.