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      <title>你的 CLI 该为 AI Agent 重写了</title>
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      <pubDate>Thu, 09 Apr 2026 12:00:00 +0800</pubDate>
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      <description>给人用的命令行和给 Agent 用的命令行，是两种东西。七个设计原则，用真实内部工具和知名开源 CLI 逐条拆解。</description>
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      <title>让 AI 帮你维护一个个人百科全书</title>
      <link>https://fancive.github.io/posts/agentic-wiki-ai-personal-encyclopedia/</link>
      <pubDate>Tue, 07 Apr 2026 10:00:00 +0800</pubDate>
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      <description>你记过的笔记，最后真的翻过几次？Karpathy 的 LLM Wiki 模式：不是帮你记更多，而是帮你把已经记的东西养活。</description>
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      <title>如何量化 API 接口的 CPU 资源消耗：一种基于回归分析的方法</title>
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      <pubDate>Fri, 23 Jan 2026 12:00:00 +0800</pubDate>
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      <description>利用线性回归和现有监控数据（QPS、CPU 使用率），量化微服务中各 API 接口的 CPU 资源消耗，指导性能优化。</description>
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      <title>从代码评审到生产部署：自动化流水线实践</title>
      <link>https://fancive.github.io/posts/automating-deployment-pipeline-from-code-review-to-production/</link>
      <pubDate>Thu, 30 Jan 2025 14:07:06 +0800</pubDate>
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      <description>从代码评审到生产环境的自动化部署实践：解决传统部署流程痛点，实现智能化的一站式部署工具，提升开发效率。</description>
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      <title>Wheel of Life 2024</title>
      <link>https://fancive.github.io/posts/wheel-of-life-2024/</link>
      <pubDate>Sat, 11 Jan 2025 16:26:38 +0800</pubDate>
      <guid>https://fancive.github.io/posts/wheel-of-life-2024/</guid>
      <description>2024 年度生命之轮回顾：从事业、学习、健康、家庭等八个维度全面反思这一年的成长与不足。</description>
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      <title>Llm Driven Alert Diagnosis Engine Design(设计新一代LLM驱动的告警诊断引擎)</title>
      <link>https://fancive.github.io/posts/llm-driven-alert-diagnosis-engine-design/</link>
      <pubDate>Sat, 31 Aug 2024 09:42:01 +0800</pubDate>
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      <description>探讨如何设计基于大语言模型的智能告警诊断引擎，实现系统问题的自动化检测、诊断和解决。</description>
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      <title>[Paper reading] A Survey On Log Research Of AIOps: Methods and Trends</title>
      <link>https://fancive.github.io/posts/paper_reading_a_survey_on_log_research_of_aiops/</link>
      <pubDate>Sat, 25 Mar 2023 13:43:03 +0800</pubDate>
      <guid>https://fancive.github.io/posts/paper_reading_a_survey_on_log_research_of_aiops/</guid>
      <description>AIOps 日志研究综述：系统梳理日志分析的方法、趋势以及在智能运维中的应用。</description>
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      <title>[paper reading]AIOps: Real-World Challenges and Research Innovations</title>
      <link>https://fancive.github.io/posts/paper_reading_aiops_real-world_challenges_and_research_innovations/</link>
      <pubDate>Sat, 18 Mar 2023 13:35:19 +0800</pubDate>
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      <description>AIOps 领域论文阅读笔记：探讨智能运维在现实世界中面临的挑战以及最新的研究创新。</description>
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      <title>我从filebeat-harvester中学到什么</title>
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      <pubDate>Mon, 28 Nov 2022 14:13:14 +0800</pubDate>
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      <description>通过分析 Filebeat Harvester 模块的实现，学习文件采集、状态管理和并发控制的最佳实践。</description>
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      <title>Filebeat 中使用的设计模式</title>
      <link>https://fancive.github.io/posts/design_pattern_used_in_filebeat/</link>
      <pubDate>Wed, 16 Sep 2020 22:15:59 +0800</pubDate>
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      <description>分析 Filebeat 源码中使用的设计模式，包括 Registry 模式、Observer 模式、Strategy 模式和 Object Pool 模式等优秀的工程实践。</description>
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      <title>深入理解 Go String 转 []byte 的容量分配机制</title>
      <link>https://fancive.github.io/posts/go_string_byte/</link>
      <pubDate>Sun, 31 May 2020 21:30:28 +0800</pubDate>
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      <description>探究 Go 语言中 string 转 []byte 时容量变化的底层原理，通过汇编代码分析内存分配机制。</description>
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      <title>[翻译] Go Interface 深度解析</title>
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      <pubDate>Wed, 06 May 2020 22:20:18 +0800</pubDate>
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      <description>深入理解 Go 语言 interface 的内部实现机制，包括静态类型、动态类型以及值拷贝的工作原理。</description>
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