despite rapidly improving capabilities, coding agents remain inefficient in natural settings
大多数人认为随着AI能力的提升，编程助手的效率会相应提高，但研究发现在实际开发环境中，AI编程助手仍然效率低下。这表明实验室环境下的性能提升不一定能转化为实际工作流程中的效率增益。
4 Matching Annotations
- Apr 2026
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arxiv.org arxiv.org
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huggingface.co huggingface.co
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experiments on WildClawBench show that limited interaction and feedback, it significantly improves the performance of Qwen3-Max in real-world agent scenarios.
令人惊讶的是：即使在有限的交互和反馈条件下，SkillClaw也能显著提升Qwen3-Max在实际代理场景中的性能。这表明该系统即使在用户参与度不高的情况下，也能有效收集足够的数据来改进技能库，解决了传统AI系统需要大量标注数据才能进化的痛点。
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- Feb 2023
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blog.appsignal.com blog.appsignal.com
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The majority of real-world software benefits from the fast warm-up and performance enhancements provided by the YJIT basic block versioning JIT compiler.
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- Jan 2023
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bugs.ruby-lang.org bugs.ruby-lang.org
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I'm still against frozen-string-literal by default. It is arguable if the string creation limits performance so much in real-world programs. We need to first measure how much Ruby can be faster by frozen-string-literal. If it is not significant, Ruby should prefer dynamics and flexibility.
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