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20:24:49",[44],{"currentItem":105,"processedData":125},{"img":106,"keywords":107,"treeType":44,"description":108,"showStatus":44,"updateTime":109,"type":110,"title":111,"content":112,"nextArticle":113,"createTime":109,"sortOrder":117,"canonicalPath":118,"id":119,"contentType":120,"prevArticle":121},"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_fm.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=VzGcx665qxUX4JhCJnZHKCjG9DY%3D","AI 编程,MiniAgent,智能体开发,测试驱动,Debug 规范","以 MiniAgent 适配 Phi-3.5 为实战案例，讲解 Skills 复用、三类开发驱动模式、分层测试梯度、标准化 Debug 流程与上下文归档，给出 AI 编程完整落地规范。","2026-10-22 20:38:11",2,"2026 夏季 InfiniTensor 训练营 AI 编程与智能体应用 4：《AI 编程与智能体应用实践：从需求到原型实现》","![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw01.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=QFzscrU%2Bdt%2BixELchYRRJEugBeo%3D)\r\n\r\n\r\n\u003Cspan style=\"font-size:12px;color:#555;\">7 月 28 日，2026 夏季 InfiniTensor 训练营 AI 编程与智能体应用第四课《AI 编程与智能体应用实践：从需求到原型实现》开讲。\r\n前三课依次讲解通用 Agent 系统完整架构、循环执行机制、安全评估体系，以及科研领域多类科研智能体落地案例，搭建 Agent 理论与行业落地认知。\u003C\u002Fspan>\r\n\r\n本节课承接前三节 Agent 理论与科研场景落地内容，以 MiniAgent 推理框架适配 Phi-3.5 模型为完整实战案例，完整演示标准化 AI Coding 全流程，讲解 Skills 复用、任务驱动开发、分层调试规范与项目归档方法。\r\n\r\n\r\n## 准备工作：Skills 与环境构建\r\n### Skills 的获取与管理\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=TwPe1Jwc5FKKj0d2OomAc6Cmx2c%3D)\r\n\r\n1. **核心价值**：复用已优化的 Prompt 和范式，避免重复造轮子。\r\n2. **推荐资源**：skills.sh 网站。\r\n3. **本次实战必备 Skills**：\r\n   - `model-pr-history-knowledge`：读取模型结构经验。\r\n   - `diagnosing-bugs`：对话式修 bug。\r\n   - `codebase-design`：代码库设计与模仿。\r\n   - `tdd`：测试驱动开发。\r\n   - `simplify`：代码简化与清理。\r\n\r\n### 项目初始化规范\r\n1. **文件夹结构**：建立标准目录（如 `code_building` 存放过程文档，`DOCS` 存放中间文档）。\r\n2. **环境校准**：\r\n   - 让 Agent 阅读开发规范与 Debug 哲学。\r\n   - 运行基准测试（如 Qwen3-8B）确认环境与框架无误。\r\n   - 定性评估任务量，识别 Gap（如 RoPE 类型、Head Dimension 等）。\r\n\r\n## Coding Agent Loop 与驱动模式\r\n### Agent Loop 基本逻辑\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw03.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=I6vcn%2FjDAxQT7SgKBUGFCEfSkbE%3D)\r\n\r\n*   **循环机制**：环境搜索信息 → 形成长 Context → 模型决策 → 调用工具执行 → 发现新 Bug → 修改迭代。\r\n*   **人机协作**：Agent 提出 Plan A\u002FB\u002FC，人类识别意图并选择正确方案。\r\n\r\n### 三种驱动模式（水无常形）\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw04.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=zloGBIWEANnvwUdyUY9hiK2JIgM%3D)\r\n\r\n- **Plan First + Test Driven**（本次重点）：先理清任务，再通过测试脚本触发 Bug，逐步修复。适用于清晰的功能开发。\r\n- **Spec Driven**：给定具体指标\u002F限制，让 Agent 在约束内持续优化。适用于性能优化任务。\r\n- **Review Driven**：人类密集参与，通过不断对话矫正方向。适用于探索性\u002F不定向任务。\r\n\r\n## 实战演练：Phi-3.5 适配全流程\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw05.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ukUTTN2n6z6zF9BOY03DJolByxk%3D)\r\n\r\n### 测试梯度设计（关键方法论）\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw06.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=jotKOyozG5nRmZhTyovH3eN%2B2us%3D)\r\n\r\n1. **原则**：每次测试只覆盖一个接口\u002F功能，由浅入深。\r\n2. **标准梯度示例**：\r\n   - 注册与配置文件补齐。\r\n   - 模型树节点分析（复用 vs 重写）。\r\n   - 长上下文 RoPE（Long RoPE）数学分析与构建。\r\n   - 单层 Logic 精度对准。\r\n   - 全模型 Logic 精度对准。\r\n   - Prefill & Decode 多阶段核对。\r\n   - 端到端文本生成（Temperature=0）。\r\n   - 离线服务 → 在线服务 → TP 支持。\r\n\r\n### 执行过程中的 Review 要点\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw07.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=p5Ycn3N8VedZHTv2OQm7jgR4hBQ%3D)\r\n\r\n1. **Plan 审查**：检查方案是否符合开发规范与人类意图（这是自动化顺畅的关键）。\r\n2. **Debug 监控**：\r\n   - 确保推 Bug 过程线性推进，禁止跳跃。\r\n   - 警惕激进修改（如误删代码行），及时制止。\r\n   - 关注边界条件测试（如 Long RoPE 的触发条件）。\r\n3. **环境问题处理**：当前使用的 FlashInfer kernel 对 Head Dim=96 支持有限，引导 Agent Fallback 到 FlashAttention。\r\n\r\n### 代码清理与回归\r\n- **防御性编程的取舍**：初期可写，后期须简化以保性能。\r\n- **回归测试**：简化后必须重跑 CoreTest 确保功能无损。\r\n\r\n## Debug 规范与上下文管理\r\n### Debug 规范精选\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw08.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=cS1bChUZZxsCNNFBeuEnr%2B9Qr4E%3D)\r\n\r\n- **不猜机制，找变量**\r\n- **Print，让数据说话**。\r\n- **隔离实验**：一次只验证一个假说，防止交叉感染。\r\n- **先确认路径，再看数据**\r\n- **二分法找边界**\r\n- **预期 vs 实测**：先列预期数据，再跑实测，对比 Gap 分析根因。\r\n\r\n### 长上下文与多 TP 扩展\r\n- **Chunk Prefill 陷阱**：注意序列级模式选择被破坏的问题。\r\n- **TP=2 建设**：TP=2 支持需要在算子正确性验证基础上，进一步检查权重切分、通信逻辑和并行一致性。\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw09.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=r4xiVx1JZ8kQfJJj%2BkxJEBeiAZo%3D)\r\n\r\n### 上下文压缩与归档（防失忆）\r\n1. **痛点**：长对话导致 Context 极限或新会话失忆。\r\n2. **解决方案**：\r\n   - 主动归档：将链路总结为过程文档（命令、数据、现象、结论）。\r\n   - 上下文恢复：新会话让 Agent 重读自己生成的归档文件恢复记忆。\r\n   - 固化工作流：将成熟的 Debug\u002F归档流程封装为新的 Skills。\r\n\r\n### 总结：AI Coding 三原则\r\n1. **无代码**：尽量让 Agent 完成所有编码工作。\r\n2. **自动化**：通过测试梯度和 Skills 驱动自动迭代。\r\n3. **抓好入口和出口**\r\n\r\n\r\n\r\n\r\n## 加入训练营\r\n#### 📺完整课程内容，请观看直播或查看课程回放：\r\n**InfiniTensor 官网**： https:\u002F\u002Fwww.infinitensor.com\r\n\r\n**B站直播**： InfiniTensor 官方直播间\r\n\r\n**视频号直播**： InfiniTensor 视频号预约\r\n\r\n**答疑交流**： 训练营官方社群⬇️\r\n\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002F2026-xjq.png?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=RCGzL2mm8Hipb2jgTTOzg7DOtUs%3D)\r\n\r\n## 关注与交流\r\n![](https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_ewm02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ne2IbUxGKCs8rwPiAjr5B%2BpodTI%3D)",{"publishTime":7,"createTime":109,"canonicalPath":114,"id":115,"title":116},"\u002Fstudy-material\u002Fstudy-81","study-81","2026 夏季 InfiniTensor 训练营 CPU 并行编程 2：《CPU 指令集加速实战》",27,"\u002Fstudy-material\u002Fstudy-82","study-82","markdown",{"publishTime":7,"createTime":109,"canonicalPath":122,"id":123,"title":124},"\u002Fstudy-material\u002Fstudy-83","study-83","2026 夏季 InfiniTensor 训练营 OpenCL 编程 2：《OpenCL 编程抽象与语法》 ",{"htmlContent":126,"headings":127},"\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw01.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=QFzscrU%2Bdt%2BixELchYRRJEugBeo%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size:12px;color:#555;\">7 月 28 日，2026 夏季 InfiniTensor 训练营 AI 编程与智能体应用第四课《AI 编程与智能体应用实践：从需求到原型实现》开讲。\u003Cbr>前三课依次讲解通用 Agent 系统完整架构、循环执行机制、安全评估体系，以及科研领域多类科研智能体落地案例，搭建 Agent 理论与行业落地认知。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>本节课承接前三节 Agent 理论与科研场景落地内容，以 MiniAgent 推理框架适配 Phi-3.5 模型为完整实战案例，完整演示标准化 AI Coding 全流程，讲解 Skills 复用、任务驱动开发、分层调试规范与项目归档方法。\u003C\u002Fp>\n\u003Ch2 id=\"准备工作-skills-与环境构建\">\u003Ca class=\"anchor\" href=\"#准备工作-skills-与环境构建\" aria-label=\"跳转到标题：准备工作：Skills 与环境构建\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>准备工作：Skills 与环境构建\u003C\u002Fh2>\u003Ch3 id=\"skills-的获取与管理\">\u003Ca class=\"anchor\" href=\"#skills-的获取与管理\" aria-label=\"跳转到标题：Skills 的获取与管理\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>Skills 的获取与管理\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=TwPe1Jwc5FKKj0d2OomAc6Cmx2c%3D\" alt=\"\">\u003C\u002Fp>\n\u003Col>\n\u003Cli>\u003Cstrong>核心价值\u003C\u002Fstrong>：复用已优化的 Prompt 和范式，避免重复造轮子。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>推荐资源\u003C\u002Fstrong>：skills.sh 网站。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>本次实战必备 Skills\u003C\u002Fstrong>：\u003Cul>\n\u003Cli>\u003Ccode>model-pr-history-knowledge\u003C\u002Fcode>：读取模型结构经验。\u003C\u002Fli>\n\u003Cli>\u003Ccode>diagnosing-bugs\u003C\u002Fcode>：对话式修 bug。\u003C\u002Fli>\n\u003Cli>\u003Ccode>codebase-design\u003C\u002Fcode>：代码库设计与模仿。\u003C\u002Fli>\n\u003Cli>\u003Ccode>tdd\u003C\u002Fcode>：测试驱动开发。\u003C\u002Fli>\n\u003Cli>\u003Ccode>simplify\u003C\u002Fcode>：代码简化与清理。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch3 id=\"项目初始化规范\">\u003Ca class=\"anchor\" href=\"#项目初始化规范\" aria-label=\"跳转到标题：项目初始化规范\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>项目初始化规范\u003C\u002Fh3>\u003Col>\n\u003Cli>\u003Cstrong>文件夹结构\u003C\u002Fstrong>：建立标准目录（如 \u003Ccode>code_building\u003C\u002Fcode> 存放过程文档，\u003Ccode>DOCS\u003C\u002Fcode> 存放中间文档）。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>环境校准\u003C\u002Fstrong>：\u003Cul>\n\u003Cli>让 Agent 阅读开发规范与 Debug 哲学。\u003C\u002Fli>\n\u003Cli>运行基准测试（如 Qwen3-8B）确认环境与框架无误。\u003C\u002Fli>\n\u003Cli>定性评估任务量，识别 Gap（如 RoPE 类型、Head Dimension 等）。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"coding-agent-loop-与驱动模式\">\u003Ca class=\"anchor\" href=\"#coding-agent-loop-与驱动模式\" aria-label=\"跳转到标题：Coding Agent Loop 与驱动模式\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>Coding Agent Loop 与驱动模式\u003C\u002Fh2>\u003Ch3 id=\"agent-loop-基本逻辑\">\u003Ca class=\"anchor\" href=\"#agent-loop-基本逻辑\" aria-label=\"跳转到标题：Agent Loop 基本逻辑\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>Agent Loop 基本逻辑\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw03.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=I6vcn%2FjDAxQT7SgKBUGFCEfSkbE%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>循环机制\u003C\u002Fstrong>：环境搜索信息 → 形成长 Context → 模型决策 → 调用工具执行 → 发现新 Bug → 修改迭代。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>人机协作\u003C\u002Fstrong>：Agent 提出 Plan A\u002FB\u002FC，人类识别意图并选择正确方案。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 id=\"三种驱动模式-水无常形\">\u003Ca class=\"anchor\" href=\"#三种驱动模式-水无常形\" aria-label=\"跳转到标题：三种驱动模式（水无常形）\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>三种驱动模式（水无常形）\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw04.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=zloGBIWEANnvwUdyUY9hiK2JIgM%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Plan First + Test Driven\u003C\u002Fstrong>（本次重点）：先理清任务，再通过测试脚本触发 Bug，逐步修复。适用于清晰的功能开发。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Spec Driven\u003C\u002Fstrong>：给定具体指标\u002F限制，让 Agent 在约束内持续优化。适用于性能优化任务。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Review Driven\u003C\u002Fstrong>：人类密集参与，通过不断对话矫正方向。适用于探索性\u002F不定向任务。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"实战演练-phi-3-5-适配全流程\">\u003Ca class=\"anchor\" href=\"#实战演练-phi-3-5-适配全流程\" aria-label=\"跳转到标题：实战演练：Phi-3.5 适配全流程\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>实战演练：Phi-3.5 适配全流程\u003C\u002Fh2>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw05.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ukUTTN2n6z6zF9BOY03DJolByxk%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch3 id=\"测试梯度设计-关键方法论\">\u003Ca class=\"anchor\" href=\"#测试梯度设计-关键方法论\" aria-label=\"跳转到标题：测试梯度设计（关键方法论）\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>测试梯度设计（关键方法论）\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw06.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=jotKOyozG5nRmZhTyovH3eN%2B2us%3D\" alt=\"\">\u003C\u002Fp>\n\u003Col>\n\u003Cli>\u003Cstrong>原则\u003C\u002Fstrong>：每次测试只覆盖一个接口\u002F功能，由浅入深。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>标准梯度示例\u003C\u002Fstrong>：\u003Cul>\n\u003Cli>注册与配置文件补齐。\u003C\u002Fli>\n\u003Cli>模型树节点分析（复用 vs 重写）。\u003C\u002Fli>\n\u003Cli>长上下文 RoPE（Long RoPE）数学分析与构建。\u003C\u002Fli>\n\u003Cli>单层 Logic 精度对准。\u003C\u002Fli>\n\u003Cli>全模型 Logic 精度对准。\u003C\u002Fli>\n\u003Cli>Prefill & Decode 多阶段核对。\u003C\u002Fli>\n\u003Cli>端到端文本生成（Temperature=0）。\u003C\u002Fli>\n\u003Cli>离线服务 → 在线服务 → TP 支持。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch3 id=\"执行过程中的-review-要点\">\u003Ca class=\"anchor\" href=\"#执行过程中的-review-要点\" aria-label=\"跳转到标题：执行过程中的 Review 要点\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>执行过程中的 Review 要点\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw07.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=p5Ycn3N8VedZHTv2OQm7jgR4hBQ%3D\" alt=\"\">\u003C\u002Fp>\n\u003Col>\n\u003Cli>\u003Cstrong>Plan 审查\u003C\u002Fstrong>：检查方案是否符合开发规范与人类意图（这是自动化顺畅的关键）。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Debug 监控\u003C\u002Fstrong>：\u003Cul>\n\u003Cli>确保推 Bug 过程线性推进，禁止跳跃。\u003C\u002Fli>\n\u003Cli>警惕激进修改（如误删代码行），及时制止。\u003C\u002Fli>\n\u003Cli>关注边界条件测试（如 Long RoPE 的触发条件）。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003Cli>\u003Cstrong>环境问题处理\u003C\u002Fstrong>：当前使用的 FlashInfer kernel 对 Head Dim=96 支持有限，引导 Agent Fallback 到 FlashAttention。\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch3 id=\"代码清理与回归\">\u003Ca class=\"anchor\" href=\"#代码清理与回归\" aria-label=\"跳转到标题：代码清理与回归\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>代码清理与回归\u003C\u002Fh3>\u003Cul>\n\u003Cli>\u003Cstrong>防御性编程的取舍\u003C\u002Fstrong>：初期可写，后期须简化以保性能。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>回归测试\u003C\u002Fstrong>：简化后必须重跑 CoreTest 确保功能无损。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"debug-规范与上下文管理\">\u003Ca class=\"anchor\" href=\"#debug-规范与上下文管理\" aria-label=\"跳转到标题：Debug 规范与上下文管理\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>Debug 规范与上下文管理\u003C\u002Fh2>\u003Ch3 id=\"debug-规范精选\">\u003Ca class=\"anchor\" href=\"#debug-规范精选\" aria-label=\"跳转到标题：Debug 规范精选\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>Debug 规范精选\u003C\u002Fh3>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw08.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=cS1bChUZZxsCNNFBeuEnr%2B9Qr4E%3D\" alt=\"\">\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>不猜机制，找变量\u003C\u002Fstrong>\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Print，让数据说话\u003C\u002Fstrong>。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>隔离实验\u003C\u002Fstrong>：一次只验证一个假说，防止交叉感染。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>先确认路径，再看数据\u003C\u002Fstrong>\u003C\u002Fli>\n\u003Cli>\u003Cstrong>二分法找边界\u003C\u002Fstrong>\u003C\u002Fli>\n\u003Cli>\u003Cstrong>预期 vs 实测\u003C\u002Fstrong>：先列预期数据，再跑实测，对比 Gap 分析根因。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 id=\"长上下文与多-tp-扩展\">\u003Ca class=\"anchor\" href=\"#长上下文与多-tp-扩展\" aria-label=\"跳转到标题：长上下文与多 TP 扩展\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>长上下文与多 TP 扩展\u003C\u002Fh3>\u003Cul>\n\u003Cli>\u003Cstrong>Chunk Prefill 陷阱\u003C\u002Fstrong>：注意序列级模式选择被破坏的问题。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>TP=2 建设\u003C\u002Fstrong>：TP=2 支持需要在算子正确性验证基础上，进一步检查权重切分、通信逻辑和并行一致性。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002FKnowledge_Base\u002FKB_82_zw09.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=r4xiVx1JZ8kQfJJj%2BkxJEBeiAZo%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch3 id=\"上下文压缩与归档-防失忆\">\u003Ca class=\"anchor\" href=\"#上下文压缩与归档-防失忆\" aria-label=\"跳转到标题：上下文压缩与归档（防失忆）\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>上下文压缩与归档（防失忆）\u003C\u002Fh3>\u003Col>\n\u003Cli>\u003Cstrong>痛点\u003C\u002Fstrong>：长对话导致 Context 极限或新会话失忆。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>解决方案\u003C\u002Fstrong>：\u003Cul>\n\u003Cli>主动归档：将链路总结为过程文档（命令、数据、现象、结论）。\u003C\u002Fli>\n\u003Cli>上下文恢复：新会话让 Agent 重读自己生成的归档文件恢复记忆。\u003C\u002Fli>\n\u003Cli>固化工作流：将成熟的 Debug\u002F归档流程封装为新的 Skills。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch3 id=\"总结-ai-coding-三原则\">\u003Ca class=\"anchor\" href=\"#总结-ai-coding-三原则\" aria-label=\"跳转到标题：总结：AI Coding 三原则\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>总结：AI Coding 三原则\u003C\u002Fh3>\u003Col>\n\u003Cli>\u003Cstrong>无代码\u003C\u002Fstrong>：尽量让 Agent 完成所有编码工作。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>自动化\u003C\u002Fstrong>：通过测试梯度和 Skills 驱动自动迭代。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>抓好入口和出口\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"加入训练营\">\u003Ca class=\"anchor\" href=\"#加入训练营\" aria-label=\"跳转到标题：加入训练营\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>加入训练营\u003C\u002Fh2>\u003Ch4 id=\"完整课程内容-请观看直播或查看课程回放\">\u003Ca class=\"anchor\" href=\"#完整课程内容-请观看直播或查看课程回放\" aria-label=\"跳转到标题：📺完整课程内容，请观看直播或查看课程回放：\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>📺完整课程内容，请观看直播或查看课程回放：\u003C\u002Fh4>\u003Cp>\u003Cstrong>InfiniTensor 官网\u003C\u002Fstrong>： \u003Ca href=\"https:\u002F\u002Fwww.infinitensor.com\">https:\u002F\u002Fwww.infinitensor.com\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>B站直播\u003C\u002Fstrong>： InfiniTensor 官方直播间\u003C\u002Fp>\n\u003Cp>\u003Cstrong>视频号直播\u003C\u002Fstrong>： InfiniTensor 视频号预约\u003C\u002Fp>\n\u003Cp>\u003Cstrong>答疑交流\u003C\u002Fstrong>： 训练营官方社群⬇️\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002F2026-xjq.png?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=RCGzL2mm8Hipb2jgTTOzg7DOtUs%3D\" alt=\"\">\u003C\u002Fp>\n\u003Ch2 id=\"关注与交流\">\u003Ca class=\"anchor\" href=\"#关注与交流\" aria-label=\"跳转到标题：关注与交流\">\u003Cspan class=\"octicon octicon-link\">\u003C\u002Fspan>\u003C\u002Fa>关注与交流\u003C\u002Fh2>\u003Cp>\u003Cimg src=\"https:\u002F\u002Foss.infinitensor.com\u002Fprod\u002Fimages\u002Fportal_news\u002Fnews_ewm02.jpg?Expires=1792752590&OSSAccessKeyId=LTAI5t9R6uzvTa69CT92cFvV&Signature=ne2IbUxGKCs8rwPiAjr5B%2BpodTI%3D\" alt=\"\">\u003C\u002Fp>\n",[128,131,134,136,139,142,145,148,151,154,156,159,162,165,168,171,173,177],{"id":129,"text":130,"level":110},"准备工作-skills-与环境构建","准备工作：Skills 与环境构建",{"id":132,"text":133,"level":9},"skills-的获取与管理","Skills 的获取与管理",{"id":135,"text":135,"level":9},"项目初始化规范",{"id":137,"text":138,"level":110},"coding-agent-loop-与驱动模式","Coding Agent Loop 与驱动模式",{"id":140,"text":141,"level":9},"agent-loop-基本逻辑","Agent Loop 基本逻辑",{"id":143,"text":144,"level":9},"三种驱动模式-水无常形","三种驱动模式（水无常形）",{"id":146,"text":147,"level":110},"实战演练-phi-3-5-适配全流程","实战演练：Phi-3.5 适配全流程",{"id":149,"text":150,"level":9},"测试梯度设计-关键方法论","测试梯度设计（关键方法论）",{"id":152,"text":153,"level":9},"执行过程中的-review-要点","执行过程中的 Review 要点",{"id":155,"text":155,"level":9},"代码清理与回归",{"id":157,"text":158,"level":110},"debug-规范与上下文管理","Debug 规范与上下文管理",{"id":160,"text":161,"level":9},"debug-规范精选","Debug 规范精选",{"id":163,"text":164,"level":9},"长上下文与多-tp-扩展","长上下文与多 TP 扩展",{"id":166,"text":167,"level":9},"上下文压缩与归档-防失忆","上下文压缩与归档（防失忆）",{"id":169,"text":170,"level":9},"总结-ai-coding-三原则","总结：AI Coding 三原则",{"id":172,"text":172,"level":110},"加入训练营",{"id":174,"text":175,"level":176},"完整课程内容-请观看直播或查看课程回放","📺完整课程内容，请观看直播或查看课程回放：",4,{"id":178,"text":178,"level":110},"关注与交流"]