Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
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。关于这个话题，safew官方版本下载提供了深入分析
2月13日，北京人民大会堂。作为获得2025年度中国政府友谊奖的外国专家代表，德国海瑞恩集团董事长尤根·海瑞恩受邀出席一场新春座谈会。
跨 Agent 来源追踪 —— 具备 detected_by 来源追踪与去重，自动发现不同 Agent 之间的共识与冲突
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