AI Coding Benchmark Published
New benchmarks based on data from 800 developers reveal insights into AI coding expenditures, totaling $2.3 million in usage. These figures provide insights into current investment trends in the AI development sector. The benchmarks offer a comparative analysis for businesses. A new benchmark called CORE-Bench has been published for code retrieval in the era of agentic coding. The authors state that code retrieval is becoming central to coding agents.
Topics
Developing
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Sources · 7 independent
Hacker News
“State of AI coding spend: benchmarks from 800 developers and $2.3M of usage.”
Radio 24 il sole 24 ore
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Modernity/arxiv
“CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding. Authors: Fuwei Zhang, Yanzhao Zhang, Mingxin Li, Dingkun Long, Lexiang Hu, Pengjun Xie, Zhao Zhang, Fuzhen Zhuang Abstract: Code retrieval is becoming central to coding agents, but agentic coding req...”
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