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 설정 2026: 5분 빠른 시작

    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 가이드

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

  4. AGENTS.md 패턴: 실제로 에이전트 행동을 바꾸는 것들

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

  5. Claude Code Hooks 튜토리얼: 처음부터 만드는 5가지 프로덕션 Hooks

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

  6. Claude Code 커스텀 스킬 만들기: 완벽 튜토리얼

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

  7. Claude Code vs Codex CLI 2026: 의사결정 레퍼런스

    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. 증거 게이트

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

  2. 에이전트 아키텍처

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

  3. 복리 엔지니어링: 느려지지 않고 가속하는 코드베이스

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

  4. Loop Engineering: Loops Win Where Verification Is Cheap

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

  5. AI 에이전트를 무감독으로 실행할 때 실제로 무엇이 망가지는가

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

  6. 에이전트 운영자 핸드북: 보이지 않는 것을 감독하는 법

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

  7. 에이전트는 리뷰어를 대체하지, 리뷰를 대체하지 않는다

    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 에이전트 개발

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

  2. 두 개의 MCP 서버로 Claude Code를 iOS 빌드 시스템으로 만들기

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

  3. Apple 개발을 위한 Hooks: 프로젝트를 살리는 패턴

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

  4. Xcode 27이 에이전트형으로 진화하다

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

  5. Foundation Models 에이전트 워크플로: 인앱 vs 툴링 LLM

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

  6. Foundation Models 온디바이스 LLM: Tool 프로토콜

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

  7. iOS 27의 Foundation Models: 도구 호출 제어

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