<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title><![CDATA[Hotdry Blog - 热干博客]]></title><link>https://blog.hotdry.top</link><description><![CDATA[每日更新技术热点和实战干货，聚焦软件工程、系统架构与 AI 工程化实践。]]></description><language>zh-CN</language><lastBuildDate>Mon, 20 Jul 2026 19:19:59 GMT</lastBuildDate><ttl>60</ttl><item><title><![CDATA[Agent 多轮上下文装配：tool 消息配对完整性、分层裁剪与摘要压缩]]></title><link>https://blog.hotdry.top/posts/2026/07/21/agent-context-window-tool-pairing-trim-summarize/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/21/agent-context-window-tool-pairing-trim-summarize/</guid><pubDate>Tue, 21 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[单次 tool 结果预算与 run 级 max_turns 挡不住历史消息线性膨胀。本文给出上下文装配流水线：tool_call/tool_result 配对不变量、分桶 token 预算、从中段删块与可选摘要压缩的可落地表，并说明 prompt cache 与错误 400 边界。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Agent 异步 run 队列：PostgreSQL SKIP LOCKED 租约、心跳续租与至少一次语义]]></title><link>https://blog.hotdry.top/posts/2026/07/20/agent-run-queue-postgres-skip-locked-lease-heartbeat/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/20/agent-run-queue-postgres-skip-locked-lease-heartbeat/</guid><pubDate>Mon, 20 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[交互式 SSE 断连后 Agent 仍需在 Worker 上跑完多轮 tool 环。本文给出 PostgreSQL 上 pending/leased/done/dead 状态机、SELECT FOR UPDATE SKIP LOCKED 领取、locked_until 心跳与可见性超时、取消位轮询的可落地表，并说明至少一次重放与写工具幂等边界。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Agent 流式 tool_calls 增量拼装：index 对齐、arguments 缓冲与完成门闩]]></title><link>https://blog.hotdry.top/posts/2026/07/19/agent-streaming-tool-calls-delta-buffer-json-assembly/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/19/agent-streaming-tool-calls-delta-buffer-json-assembly/</guid><pubDate>Sun, 19 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[流式补全中 tool 参数以字符串增量到达，不可按半包 JSON 执行。本文给出 OpenAI delta.tool_calls 与 Anthropic input_json_delta 的统一缓冲表、完成门闩、取消时的半成品处理，以及参数字节上限与 schema 校验时序的可落地参数。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Agent 多轮循环运行预算：max_turns、墙钟 deadline、token/费用上限与取消传播]]></title><link>https://blog.hotdry.top/posts/2026/07/18/agent-run-budget-max-turns-deadline-cancel-propagation/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/18/agent-run-budget-max-turns-deadline-cancel-propagation/</guid><pubDate>Sat, 18 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[生产 Agent 若只靠「模型自行 stop」会在工具环上无限转。本文给出 run 级 max_turns、墙钟 deadline、token/费用预算的可落地表，以及用户 Stop / 客户端断连时向 LLM 流与飞行中 tool 的取消传播顺序，并说明与单工具超时、结果预算的边界。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Agent 并行 tool_calls：信号量、提供商 fan-out 上限与部分失败回灌]]></title><link>https://blog.hotdry.top/posts/2026/07/17/agent-parallel-tool-calls-semaphore-quota-partial-failure/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/17/agent-parallel-tool-calls-semaphore-quota-partial-failure/</guid><pubDate>Fri, 17 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[模型一轮响应可发出多条 tool_calls。本文给出编排层的全局/租户/工具三级信号量、与 OpenAI parallel_tool_calls / Anthropic disable_parallel_tool_use 的对齐方式、共享资源配额与部分失败结构化回灌的可落地表，并说明顺序依赖与取消传播边界。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Agent 工具结果回灌：字节/token 预算、头尾截断与密钥脱敏流水线]]></title><link>https://blog.hotdry.top/posts/2026/07/16/agent-tool-result-budget-truncation-secret-redaction/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/16/agent-tool-result-budget-truncation-secret-redaction/</guid><pubDate>Thu, 16 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[Shell、文件、HTTP、SQL 等工具的原始输出会原样进入下一轮模型上下文。本文给出执行后回灌层的字节与 token 双预算、头尾保留截断、密钥/路径脱敏与 MCP isError 结构化错误的可落地表，并说明间接注入与误伤边界。]]></description><category><![CDATA[security]]></category></item><item><title><![CDATA[Agent 文件工具：工作区根边界、realpath 规范化与符号链接逃逸]]></title><link>https://blog.hotdry.top/posts/2026/07/15/agent-file-tool-workspace-boundary-realpath-symlink-escape/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/15/agent-file-tool-workspace-boundary-realpath-symlink-escape/</guid><pubDate>Wed, 15 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[Coding Agent 与 MCP 的 read_file/write_file 常因字符串前缀判断、未解析符号链接或校验与打开之间的 TOCTOU 读到工作区外。本文给出 realpath/O_NOFOLLOW 可落地表、Python 与 openat 示意实现，以及硬链接、竞态与 OS 沙箱边界。]]></description><category><![CDATA[security]]></category></item><item><title><![CDATA[Agent shell 工具：进程组隔离、超时升级杀与 stdout/stderr 管道背压]]></title><link>https://blog.hotdry.top/posts/2026/07/14/agent-shell-tool-process-group-timeout-pipe-backpressure/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/14/agent-shell-tool-process-group-timeout-pipe-backpressure/</guid><pubDate>Tue, 14 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[Coding Agent 与 MCP 终端类工具在生产中常因孙进程泄漏、管道写满死锁与无界输出拖垮 Worker。本文给出 setpgid/setsid 进程组、SIGTERM→SIGKILL 升级时序、并发读管道与字节/行截断的可落地表，并说明无法仅靠「kill 主 PID」解决的边界。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Agent 的 run_sql 工具：PostgreSQL 会话沙箱、超时参数与 RLS 多租户隔离]]></title><link>https://blog.hotdry.top/posts/2026/07/07/postgres-agent-run-sql-session-sandbox-timeouts-rls/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/07/postgres-agent-run-sql-session-sandbox-timeouts-rls/</guid><pubDate>Tue, 07 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[针对 Coding Agent 与 MCP 数据库工具中「模型生成 SQL」的副作用与资源耗尽风险，说明如何用专用角色、会话级 GUC、连接池 checkout 钩子与行级安全策略组合成可落地的只读沙箱，并给出生产参数表与常见绕过边界。]]></description><category><![CDATA[database]]></category></item><item><title><![CDATA[Agent 工具网关：MCP inputSchema 与 OpenAI strict 对齐及执行前 JSON Schema 校验]]></title><link>https://blog.hotdry.top/posts/2026/07/06/agent-tool-gateway-mcp-inputschema-openai-strict-pre-execution-validation/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/06/agent-tool-gateway-mcp-inputschema-openai-strict-pre-execution-validation/</guid><pubDate>Mon, 06 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[依据 MCP 2025-11-25 的 JSON Schema 方言约定与 OpenAI Function Calling strict 模式要求，说明编排网关如何在 tools/list 归一化、向模型注册与 tools/call 执行前做双层校验，并给出 dialect 映射、拒绝策略与错误回灌参数表。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Agent 编排追踪：OpenTelemetry GenAI 与 MCP 语义约定的 span 层级、去重与内容采集]]></title><link>https://blog.hotdry.top/posts/2026/07/05/opentelemetry-genai-mcp-agent-trace-span-hierarchy/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/05/opentelemetry-genai-mcp-agent-trace-span-hierarchy/</guid><pubDate>Sun, 05 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[依据 open-telemetry/semantic-conventions-genai 中 inference、execute_tool 与 MCP client span 的 Development 约定，说明 Agent 网关如何把 LLM 调用、工具执行与 tools/call 挂成可查询的 trace，并给出 MCP/GemAI 去重、params._meta 传播与 Opt-In 内容采集的可落地参数。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Agent HTTP 工具出站 SSRF 网关：解析、解析后校验与 connect 前 IP 裁决]]></title><link>https://blog.hotdry.top/posts/2026/07/04/agent-http-tool-ssrf-egress-gateway-parse-resolve-connect/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/04/agent-http-tool-ssrf-egress-gateway-parse-resolve-connect/</guid><pubDate>Sat, 04 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[结合 OWASP SSRF 防护要点与 Agent「模型选 URL」场景，说明为何仅做 hostname 黑名单不够，并给出 scheme 白名单、重定向禁用、自定义 Dial 在解析 IP 后拦截 RFC1918/链路本地/元数据地址的可落地参数表。]]></description><category><![CDATA[security]]></category></item><item><title><![CDATA[MCP 反向 RPC 网关：sampling/createMessage 与 elicitation/create 的 HITL、配额与嵌套超时]]></title><link>https://blog.hotdry.top/posts/2026/07/02/mcp-sampling-elicitation-agent-gateway-hitl-quota-nested-timeouts/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/02/mcp-sampling-elicitation-agent-gateway-hitl-quota-nested-timeouts/</guid><pubDate>Thu, 02 Jul 2026 02:00:00 GMT</pubDate><description><![CDATA[依据 MCP 2025-06-18 的 sampling、elicitation 与 lifecycle 超时/取消章节，说明 Agent 客户端在 tools/call 嵌套场景下如何落地人机审批、模型路由、限流与分层超时，避免反向 RPC 拖死编排循环。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[个人博客接入阿里云 ESA 的一套最小配置]]></title><link>https://blog.hotdry.top/posts/2026/07/02/why-i-use-aliyun-esa-for-personal-sites/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/07/02/why-i-use-aliyun-esa-for-personal-sites/</guid><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><description><![CDATA[基于 2026-07-02 可查的官方文档，整理个人博客接入阿里云 ESA 的最小方案，重点放在 NS/CNAME、缓存、HTTPS 和基础安全配置。]]></description><category><![CDATA[web platform]]></category></item><item><title><![CDATA[Agent 编排可观测性：OTel GenAI/MCP Span 分层与 W3C Trace Context 经 params._meta 透传]]></title><link>https://blog.hotdry.top/posts/2026/06/23/otel-genai-agent-mcp-trace-context-meta-propagation/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/23/otel-genai-agent-mcp-trace-context-meta-propagation/</guid><pubDate>Tue, 23 Jun 2026 03:20:00 GMT</pubDate><description><![CDATA[依据 W3C Trace Context、OpenTelemetry GenAI Agent/MCP 语义约定（Development），说明多轮 LLM 与 MCP 工具链路的 Span 建模、网关 traceparent 注入，以及 Streamable HTTP 下为何需在 JSON-RPC params._meta 中传播上下文。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[远程 MCP Server 接入 OAuth 2.1：RFC 9728 发现、PKCE 与 resource 参数落地]]></title><link>https://blog.hotdry.top/posts/2026/06/23/remote-mcp-oauth21-protected-resource-metadata-pkce/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/23/remote-mcp-oauth21-protected-resource-metadata-pkce/</guid><pubDate>Tue, 23 Jun 2026 02:00:00 GMT</pubDate><description><![CDATA[依据 MCP 2025-06-18 Authorization 规范，说明 Agent 客户端如何把受保护 MCP 端点映射为 OAuth 资源服务器，并给出 Protected Resource Metadata、动态注册、PKCE 与 RFC 8707 resource 参数的可运维实现要点。]]></description><category><![CDATA[security]]></category></item><item><title><![CDATA[MCP Streamable HTTP 经反向代理部署：SSE 缓冲、超时与 Mcp-Session-Id 传递]]></title><link>https://blog.hotdry.top/posts/2026/06/22/mcp-streamable-http-reverse-proxy-sse-session-headers/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/22/mcp-streamable-http-reverse-proxy-sse-session-headers/</guid><pubDate>Mon, 22 Jun 2026 06:40:00 GMT</pubDate><description><![CDATA[依据 MCP 2025-03-26 Streamable HTTP 规范与 HTML SSE 标准，说明在 nginx/Envoy 前挂载 MCP 端点时如何关闭响应缓冲、配置长连接超时，并正确透传 Mcp-Session-Id、Origin 与 Last-Event-ID。]]></description><category><![CDATA[web platform]]></category></item><item><title><![CDATA[在生产网关上部署 MCP Streamable HTTP：Mcp-Session-Id、SSE 续传与 Origin 校验]]></title><link>https://blog.hotdry.top/posts/2026/06/22/mcp-streamable-http-session-sse-resume-production-gateway/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/22/mcp-streamable-http-session-sse-resume-production-gateway/</guid><pubDate>Mon, 22 Jun 2026 03:15:00 GMT</pubDate><description><![CDATA[依据 MCP 2025-06-18 传输规范，说明 Agent 网关如何把 Streamable HTTP 的会话头、Last-Event-ID 续传、协议版本头与 DNS 重绑定防护落成可运维的反向代理与超时参数。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[用 PostgreSQL FOR UPDATE SKIP LOCKED 实现多 Worker Agent 任务租约队列]]></title><link>https://blog.hotdry.top/posts/2026/06/22/postgres-skip-locked-agent-work-queue-visibility-lease/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/22/postgres-skip-locked-agent-work-queue-visibility-lease/</guid><pubDate>Mon, 22 Jun 2026 02:15:00 GMT</pubDate><description><![CDATA[结合 PostgreSQL 官方行锁语义与可见性超时（visibility timeout），说明如何把 LLM Agent 批处理任务映射为可水平扩展的租约队列，并给出 claim SQL、心跳参数与 exactly-once 边界。]]></description><category><![CDATA[database]]></category></item><item><title><![CDATA[AI Agent 写工具调用的幂等执行层：MCP ToolAnnotations 与去重表参数]]></title><link>https://blog.hotdry.top/posts/2026/06/17/agent-tool-idempotent-execution-mcp-dedup-layer/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/17/agent-tool-idempotent-execution-mcp-dedup-layer/</guid><pubDate>Wed, 17 Jun 2026 06:20:00 GMT</pubDate><description><![CDATA[结合 MCP 官方 schema 中的 readOnlyHint/idempotentHint 与 RFC 9110 的重试语义，说明如何在 Agent 运行时用工具调用指纹与去重表把 at-least-once 交付收敛为可审计的副作用控制。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[用 Kubernetes Job 承载一次性 AI Agent 批任务：activeDeadlineSeconds 与 ttlSecondsAfterFinished 的配置要点]]></title><link>https://blog.hotdry.top/posts/2026/06/17/kubernetes-job-agent-batch-deadline-ttl-cleanup/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/17/kubernetes-job-agent-batch-deadline-ttl-cleanup/</guid><pubDate>Wed, 17 Jun 2026 01:30:00 GMT</pubDate><description><![CDATA[结合 Kubernetes 官方 Job 语义，说明如何把 LLM Agent 批处理映射为 Job/CronJob，并给出截止时间、重试、Pod 失败策略与收尾 TTL 的可落地参数与常见踩坑。]]></description><category><![CDATA[infra]]></category></item><item><title><![CDATA[击穿内存墙：CPU缓存局部性优化的工程实践与可落地参数]]></title><link>https://blog.hotdry.top/posts/2026/06/15/memory-wall-cache-locality-optimization/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/memory-wall-cache-locality-optimization/</guid><pubDate>Mon, 15 Jun 2026 02:26:51 GMT</pubDate><description><![CDATA[从内存墙瓶颈出发，解析CPU缓存层次结构对程序性能的实际影响，提供数据布局、循环优化与预取策略的可操作参数与监控要点。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[分布式八大谬误在微服务中的防御性实现：从理论到Service Mesh实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/eight-fallacies-microservices-defense-patterns/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/eight-fallacies-microservices-defense-patterns/</guid><pubDate>Mon, 15 Jun 2026 02:02:20 GMT</pubDate><description><![CDATA[将经典分布式谬误映射至现代微服务场景，分析网络分区、延迟假设与弹性设计在Service Mesh中的防御性实现模式与可落地参数。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[WASM Component Model 驱动 AI 推理服务热插拔架构]]></title><link>https://blog.hotdry.top/posts/2026/06/15/wasm-component-model-ai-inference-hot-swap/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/wasm-component-model-ai-inference-hot-swap/</guid><pubDate>Mon, 15 Jun 2026 01:50:18 GMT</pubDate><description><![CDATA[基于 WASM Component Model 的动态链接能力，实现 AI 推理引擎的模块化热插拔，支持运行时无中断切换模型后端。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[通话中实时标记的状态机设计：离线会议转录的时序同步与交互管理]]></title><link>https://blog.hotdry.top/posts/2026/06/15/mid-call-flagging-state-machine-for-offline-transcription/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/mid-call-flagging-state-machine-for-offline-transcription/</guid><pubDate>Mon, 15 Jun 2026 01:27:22 GMT</pubDate><description><![CDATA[探讨在离线Whisper转录流程中实现mid-call flagging的技术方案，涵盖音频分段策略、时序对齐机制与标记状态机的工程实现细节。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Adobe ADEPT DRM 签名验证与 Kobo 阅读器兼容性边界分析]]></title><link>https://blog.hotdry.top/posts/2026/06/15/adobe-adept-epub-signature-validation-kobo-compatibility/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/adobe-adept-epub-signature-validation-kobo-compatibility/</guid><pubDate>Mon, 15 Jun 2026 01:05:38 GMT</pubDate><description><![CDATA[剖析 Adobe ADEPT DRM 在 EPUB 文件上的签名验证策略，揭示证书链校验、文件完整性验证与跨设备实现差异导致的 Kobo 阅读器兼容性边界问题。]]></description><category><![CDATA[security]]></category></item><item><title><![CDATA[代码架构 vs 提示工程：为何纯提示优化存在结构性天花板]]></title><link>https://blog.hotdry.top/posts/2026/06/15/code-vs-prompt-architecture-limit/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/code-vs-prompt-architecture-limit/</guid><pubDate>Mon, 15 Jun 2026 00:50:25 GMT</pubDate><description><![CDATA[剖析2026年AI能力边界的技术本质：代码改进能突破模型能力边界，而纯提示优化存在不可逾越的结构性局限。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[jqwik视角下AI生成测试的质量边界：对抗检测机制与工程取舍]]></title><link>https://blog.hotdry.top/posts/2026/06/15/jqwik-ai-test-generation-adversarial-boundaries/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/jqwik-ai-test-generation-adversarial-boundaries/</guid><pubDate>Mon, 15 Jun 2026 00:27:08 GMT</pubDate><description><![CDATA[从jqwik属性测试框架出发，剖析AI生成测试用例的质量边界，探讨手工测试与AI生成测试的对抗检测机制与工程取舍。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[从 MD5 到 SHA-3：哈希函数演进中的碰撞抵抗与长度扩展攻击]]></title><link>https://blog.hotdry.top/posts/2026/06/15/hash-function-evolution-collision-design/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/hash-function-evolution-collision-design/</guid><pubDate>Mon, 15 Jun 2026 00:04:57 GMT</pubDate><description><![CDATA[梳理密码学哈希函数从 MD5 到 SHA-3 的演进历程，剖析 Merkle-Damgård 结构的长度扩展隐患与海绵结构的免疫机制，给出工程选型的可落地参数。]]></description><category><![CDATA[security]]></category></item><item><title><![CDATA[government llm provenance audit framework]]></title><link>https://blog.hotdry.top/posts/2026/06/15/government-llm-provenance-audit-framework/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/government-llm-provenance-audit-framework/</guid><pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate><description><![CDATA[title: "政府场景开源模型谱系审计框架：从" 自主研发 "声明到可验证溯源" date: "2026-06-15T02:49:53+08:00" excerpt: "针对政府 AI 项目中的模型来源声明风险，构建覆盖技术指纹、供应链披露与第三方验证的三层审计机制，提供可落地的合规检查清单。" category: "ai-systems" 问题背景：当 ]]></description><category><![CDATA[general]]></category></item><item><title><![CDATA[Claude 输出漂移多因素归因检测系统：区分模型更新、提示注入与系统提示变更]]></title><link>https://blog.hotdry.top/posts/2026/06/15/claude-drift-attribution-detection-system/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/claude-drift-attribution-detection-system/</guid><pubDate>Sun, 14 Jun 2026 23:49:49 GMT</pubDate><description><![CDATA[构建可审计的 AI 服务行为一致性监控方案，通过多维度特征向量和决策树归因逻辑，精准区分 Claude 输出漂移的三大来源。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[FoundationDB 分布式事务的序列化隔离实现与五秒限制设计]]></title><link>https://blog.hotdry.top/posts/2026/06/15/foundationdb-serializable-isolation-transaction-limits/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/foundationdb-serializable-isolation-transaction-limits/</guid><pubDate>Sun, 14 Jun 2026 23:27:18 GMT</pubDate><description><![CDATA[解析 FoundationDB 如何通过版本戳、Resolver 分片与五秒事务限制实现严格的序列化隔离，涵盖冲突检测机制与工程权衡。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[对齐训练引发的行为漂移：Claude 安全目标与对话体验的张力平衡]]></title><link>https://blog.hotdry.top/posts/2026/06/15/claude-alignment-behavior-drift/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/claude-alignment-behavior-drift/</guid><pubDate>Sun, 14 Jun 2026 23:02:15 GMT</pubDate><description><![CDATA[剖析 RLHF 对齐训练导致的行为模式转变，探讨模型安全目标与对话体验之间的系统性张力，提供可落地的检测参数与缓解策略。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Lucky Robots 游戏引擎架构：当 MuJoCo 物理遇上 Vulkan 渲染的机器人仿真新范式]]></title><link>https://blog.hotdry.top/posts/2026/06/15/lucky-robots-game-engine-robotics-simulation/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/lucky-robots-game-engine-robotics-simulation/</guid><pubDate>Sun, 14 Jun 2026 22:49:58 GMT</pubDate><description><![CDATA[首个专为机器人设计的游戏引擎 Lucky Engine 技术解析：MuJoCo 物理引擎与 Vulkan 渲染器的深度整合，10kHz 数据采集与 LeRobot 3.0 兼容的数据流水线设计。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[本地Whisper流式转录：离线会议场景的缓冲策略与实时标记架构]]></title><link>https://blog.hotdry.top/posts/2026/06/15/local-whisper-offline-transcription-streaming/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/local-whisper-offline-transcription-streaming/</guid><pubDate>Sun, 14 Jun 2026 22:25:54 GMT</pubDate><description><![CDATA[探讨Mac端离线会议转录工具的技术实现，聚焦本地Whisper模型的流式推理优化、音频缓冲窗口设计，以及通话中实时标记的工程化方案。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[TorchCodec HDR视频解码：CPU/CUDA双路径实现与WAV快速解码优化]]></title><link>https://blog.hotdry.top/posts/2026/06/15/torchcodec-hdr-video-decoding-cpu-cuda-dual-path/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/torchcodec-hdr-video-decoding-cpu-cuda-dual-path/</guid><pubDate>Sun, 14 Jun 2026 22:01:30 GMT</pubDate><description><![CDATA[解析TorchCodec 0.14中HDR视频解码的CPU/CUDA双路径架构，以及WAV音频快速解码器的内存优化与批处理策略。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[containerd 延迟拉取与快照驱动优化实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/containerd-snapshotter-lazy-pulling/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/containerd-snapshotter-lazy-pulling/</guid><pubDate>Sun, 14 Jun 2026 21:50:18 GMT</pubDate><description><![CDATA[基于 containerd snapshotter 接口与 eStargz 格式，实现容器镜像延迟拉取，解决大规模 K8s 集群冷启动延迟与存储瓶颈的工程实践。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Rust重写X11服务器：内存安全与协议兼容的迁移中间层实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/rust-x11-server-memory-safety-tradeoffs/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/rust-x11-server-memory-safety-tradeoffs/</guid><pubDate>Sun, 14 Jun 2026 21:25:35 GMT</pubDate><description><![CDATA[探讨用Rust实现X11服务器时在内存安全保证与遗留协议兼容之间的工程权衡，以及作为Xlib向Wayland过渡中间层的架构价值。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[逆向 Rubric 优化：以评估设计为实验平台探索 Agent 能力涌现]]></title><link>https://blog.hotdry.top/posts/2026/06/15/inverse-rubric-optimization-agent-science-testbed/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/inverse-rubric-optimization-agent-science-testbed/</guid><pubDate>Sun, 14 Jun 2026 21:01:29 GMT</pubDate><description><![CDATA[从期望终态逆向定义评估标准，通过步骤级 Rubric 注入与验证机制，构建可复现的 Agent 能力涌现实验平台。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Saga长事务补偿设计：幂等性保证与恢复策略的工程化实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/saga-compensation-idempotency-design/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/saga-compensation-idempotency-design/</guid><pubDate>Sun, 14 Jun 2026 20:50:10 GMT</pubDate><description><![CDATA[深入解析分布式Saga模式的补偿操作设计，涵盖幂等性保证机制、正向与反向恢复策略，以及并发冲突处理的工程化参数与实现要点。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[eBPF kprobe 与 Ring Buffer：内核级可观测性的三大约束与工程实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/ebpf-kprobe-ringbuffer-observability/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/ebpf-kprobe-ringbuffer-observability/</guid><pubDate>Sun, 14 Jun 2026 20:26:50 GMT</pubDate><description><![CDATA[基于 eBPF kprobe 与 perf ring buffer 构建内核级可观测探针，聚焦事件采样频率控制、用户态零拷贝消费与 CPU 开销预算的工程权衡。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[ZeroServe 与 Caddy 协同下的 HTTP/2 多路复用与连接池调度：流控参数与延迟优化实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/zeroserve-http2-multiplexing-connection-pool/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/zeroserve-http2-multiplexing-connection-pool/</guid><pubDate>Sun, 14 Jun 2026 20:02:01 GMT</pubDate><description><![CDATA[解析 ZeroServe 在 Caddy 反向代理场景下通过 HTTP/2 流控窗口调优与连接池调度实现延迟降低的工程实践，给出可落地的配置参数与监控要点。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[Chaosnet 的包格式与传输层设计：ARPANET 时代局域网协议的工程启示]]></title><link>https://blog.hotdry.top/posts/2026/06/15/chaosnet-protocol-design-local-networking/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/chaosnet-protocol-design-local-networking/</guid><pubDate>Sun, 14 Jun 2026 19:50:08 GMT</pubDate><description><![CDATA[解析 Chaosnet 的 16 位地址空间、无端口服务标识与双模式传输机制，探讨其对现代局域网协议设计的借鉴价值。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[从单元测试到证明义务：Jane Street形式化方法迁移的渐进式路径与工程师培训体系]]></title><link>https://blog.hotdry.top/posts/2026/06/15/janestreet-formal-methods-adoption-roadmap/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/janestreet-formal-methods-adoption-roadmap/</guid><pubDate>Sun, 14 Jun 2026 19:25:56 GMT</pubDate><description><![CDATA[解析Jane Street成立形式化方法团队的背景，提出从单元测试到形式化证明的四阶段迁移模型，并给出工程师培训体系与可落地的实施参数。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[量化AI采用率的感知-现实偏差：从搜索日志到IDE遥测的技术测量框架]]></title><link>https://blog.hotdry.top/posts/2026/06/15/measuring-ai-adoption-gap-perception-vs-reality/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/measuring-ai-adoption-gap-perception-vs-reality/</guid><pubDate>Sun, 14 Jun 2026 19:02:50 GMT</pubDate><description><![CDATA[构建三层技术测量体系，通过搜索日志、IDE插件遥测与企业SaaS埋点，量化AI感知热度与实际渗透率的系统性偏差，提供可落地的监控参数与阈值清单。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[模型合并谱系验证：从权重相似度到开源透明度机制]]></title><link>https://blog.hotdry.top/posts/2026/06/15/model-merge-lineage-verification-techniques/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/model-merge-lineage-verification-techniques/</guid><pubDate>Sun, 14 Jun 2026 18:25:55 GMT</pubDate><description><![CDATA[基于权重相似度分析与谱系追踪技术，探讨政府AI项目模型来源验证的工程方法，提供可落地的模型合并检测方案与透明度机制设计。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[USB PD协议栈：电源协商机制与多设备供电拓扑的工程实现]]></title><link>https://blog.hotdry.top/posts/2026/06/15/usb-pd-power-negotiation-protocol/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/usb-pd-power-negotiation-protocol/</guid><pubDate>Sun, 14 Jun 2026 18:02:08 GMT</pubDate><description><![CDATA[深入解析USB Power Delivery的CC线角色检测、BMC编码通信、PDO协商流程，以及多设备拓扑的工程限制与可落地参数。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[单二进制离线网站归档：资源爬取、内联转换与自包含渲染的工程实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/single-binary-website-archiving-techniques/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/single-binary-website-archiving-techniques/</guid><pubDate>Sun, 14 Jun 2026 17:49:45 GMT</pubDate><description><![CDATA[分析 kage 等工具将网站打包为单二进制离线镜像的技术路径，涵盖资源爬取策略、内联转换实现与去除 JS 后的静态渲染方案。]]></description><category><![CDATA[web]]></category></item><item><title><![CDATA[Linux 7.1 发布周期解析：从 Merge Window 到长期维护的工程实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/linux-kernel-7-1-release-cycle/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/linux-kernel-7-1-release-cycle/</guid><pubDate>Sun, 14 Jun 2026 17:25:46 GMT</pubDate><description><![CDATA[解析 Linux 内核 7.1 版本的发布周期机制，从 Merge Window 管理到 RC 阶段测试策略，提供可落地的内核升级与维护参数清单。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[WebGL 木材切割物理模拟：刚体动力学与 GPU 粒子渲染优化实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/webgl-physics-wood-splitting-optimization/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/webgl-physics-wood-splitting-optimization/</guid><pubDate>Sun, 14 Jun 2026 17:01:34 GMT</pubDate><description><![CDATA[基于刚体动力学与碰撞检测的木材切割物理模拟，探索 Web 端高性能粒子系统与 GPU 加速渲染的工程化参数与优化策略。]]></description><category><![CDATA[web]]></category></item><item><title><![CDATA[M1 Max 端侧语义索引：669GB GoPro 视频的本地 Embedding 提取与向量检索实践]]></title><link>https://blog.hotdry.top/posts/2026/06/15/gopro-video-local-ml-embedding-index/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/gopro-video-local-ml-embedding-index/</guid><pubDate>Sun, 14 Jun 2026 16:50:46 GMT</pubDate><description><![CDATA[在 M1 Max 上使用 MLX 框架和 CLIP 模型对大规模 GoPro 视频进行端侧语义索引，探索 Apple Silicon 上本地 Embedding 提取与向量检索的工程化参数与性能极限。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Z向纤维环注入：FDM打印层间增强的工程化实现]]></title><link>https://blog.hotdry.top/posts/2026/06/15/z-reinforcement-fiber-injection-loops/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/z-reinforcement-fiber-injection-loops/</guid><pubDate>Sun, 14 Jun 2026 16:25:24 GMT</pubDate><description><![CDATA[通过在FDM打印层间注入连续纤维环实现Z向增强，突破传统层间剥离强度瓶颈的复合工艺参数与实施要点。]]></description><category><![CDATA[systems]]></category></item><item><title><![CDATA[YOLOv8n 在 RK3588S 双 NPU 上的 42 FPS 优化实践：内存带宽管理与 INT8 量化策略]]></title><link>https://blog.hotdry.top/posts/2026/06/15/yolov8n-rk3588s-dual-npu-inference-optimization/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/15/yolov8n-rk3588s-dual-npu-inference-optimization/</guid><pubDate>Sun, 14 Jun 2026 16:02:53 GMT</pubDate><description><![CDATA[针对 RK3588S 双 NPU 并行推理场景，解析内存带宽瓶颈的量化诊断方法与 INT8 量化精度保持的工程参数配置。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[政府本地LLM基准测试方法论：Rio3.5与Qwen3.7性能差异与优化策略]]></title><link>https://blog.hotdry.top/posts/2026/06/14/rio35-vs-qwen37-government-llm-benchmarks/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/14/rio35-vs-qwen37-government-llm-benchmarks/</guid><pubDate>Sun, 14 Jun 2026 15:49:54 GMT</pubDate><description><![CDATA[解析里约热内卢市政府Rio3.5模型的基准测试方法论，对比Qwen3.7在政府本地部署场景下的性能差异与可落地优化参数。]]></description><category><![CDATA[ai-systems]]></category></item><item><title><![CDATA[Postgres 删除操作的扩展性瓶颈与工程化替代方案]]></title><link>https://blog.hotdry.top/posts/2026/06/14/postgres-scalable-delete-drop-table-partitioning/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/14/postgres-scalable-delete-drop-table-partitioning/</guid><pubDate>Sun, 14 Jun 2026 15:25:42 GMT</pubDate><description><![CDATA[深入解析 Postgres DELETE 的 MVCC 机制瓶颈，对比 DROP TABLE、TRUNCATE 与分区策略的工程权衡，提供可落地的批量清理实施路径与参数清单。]]></description><category><![CDATA[database-systems]]></category></item><item><title><![CDATA[Jane Street生产实践：用Z3验证OCaml编译器优化的形式化方法落地路径]]></title><link>https://blog.hotdry.top/posts/2026/06/14/formal-methods-ocaml-production-janestreet-z3/</link><guid isPermaLink="true">https://blog.hotdry.top/posts/2026/06/14/formal-methods-ocaml-production-janestreet-z3/</guid><pubDate>Sun, 14 Jun 2026 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