Learning paths

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Three guided reading paths through the guides and essays on this site. Pick one, read in order, and check off what you finish — progress stays in your browser.

New to Claude Code

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From first install to a tool that fits your hand. Set up the CLI, learn the moves that matter, then decide how it stacks up against the alternative.

  1. Claude Code CLI 配置 2026：5 分钟快速上手

    Install the CLI, authenticate, and finish your first working session in about five minutes.

  2. Claude Code Cheat Sheet

    Keep this open in a tab: every command, shortcut, and flag on a single page.

  3. Claude Code 指南

    The complete reference. Skim the basics now, come back for the deep sections as you need them.

  4. AGENTS.md 模式：哪些做法真正改变了智能体行为

    Your instructions file is the highest-leverage config you have. These patterns actually change behavior.

  5. Claude Code Hooks教程：从零构建5个生产级Hook

    Build five working hooks from scratch. This is the step from using the tool to shaping it.

  6. 为Claude Code构建自定义技能：完整教程

    Package your own workflows as skills that switch on exactly when they are needed.

  7. Claude Code vs Codex CLI 2026：决策参考

    You know the tool now. See how it compares to its main rival, and when each one wins.

Agentic Engineering

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How to build, run, and trust AI agents that do real engineering work: the harness, the economics, the failure modes, and where the discipline is heading.

  1. 证据门槛

    Start with the working discipline: never accept “it should work” from an agent. Require proof.

  2. Agent 架构

    The complete playbook for building an agent harness: skills, hooks, memory, subagents, and orchestration.

  3. 复合工程：让代码库加速而不是衰减

    Why harness work pays compound interest: each feature you ship makes the next one cheaper.

  4. 循环工程：在验证成本低廉处，循环才能取胜

    The rule that decides what to automate: loops win only where checking the result is cheap.

  5. 无人监督运行AI智能体时，究竟什么会出问题

    Seven ways agents fail when nobody is watching, and the signal that catches each one early.

  6. 智能体运维手册：监督不可见的系统

    Running agents is a role of its own. What supervision looks like when you cannot read every line.

  7. 智能体取代的是审查者，而非审查本身

    Where this is heading: the reviewer role is dissolving while the review itself moves into the pipeline.

iOS with Agents

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Ship Apple-platform apps with AI agents doing the heavy lifting, from wiring Claude Code into Xcode to the on-device models your app can ship.

  1. iOS Agent 开发

    The end-to-end playbook for building iOS apps with agents. Start here and branch out.

  2. 两个MCP服务器让Claude Code成为iOS构建系统

    Wire Claude Code into Xcode so it can build, run tests, and read crash logs on its own.

  3. Apple开发的Hooks：拯救项目的模式

    An agent working near your signing keys needs guardrails. Four patterns that bound the damage.

  4. Xcode 27 走向智能体化

    What Apple ships natively: Xcode 27's built-in agents, and where they fit next to your CLI.

  5. Foundation Models 智能体工作流：应用内LLM与工具链LLM

    Two AIs touch your app: the agent writing the code and the model shipping inside it. Keep their jobs straight.

  6. Foundation Models 端侧LLM：Tool 协议

    Put Apple's on-device model to work inside your app, starting with the Tool protocol.

  7. iOS 27 中的 Foundation Models：工具调用控制

    Control how the on-device model uses tools, with iOS 27's calling modes and built-in readers.