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

0 of 7

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 セットアップ 2026：5分で始めるクイックスタート

    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ガイド

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

  4. AGENTS.mdパターン：エージェントの行動を実際に変えるものは何か

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

  5. Claude Code Hooks チュートリアル：5つの本番用Hooksをゼロから構築

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

  6. Claude Codeのカスタムスキル構築：完全チュートリアル

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

  7. Claude Code vs Codex CLI 2026：意思決定リファレンス

    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. エビデンスゲート

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

  2. エージェントアーキテクチャ

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

  3. 複利エンジニアリング: 劣化ではなく加速するコードベース

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

  4. ループ・エンジニアリング――検証が安いところでループは勝つ

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

  5. AIエージェントを無人で実行すると実際に何が壊れるのか

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

  6. エージェントオペレーターのハンドブック：見えないものを監督する技術

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

  7. エージェントが取って代わるのはレビュアーであって、レビューではない

    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エージェント開発

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

  2. 2つのMCPサーバーがClaude CodeをiOSビルドシステムに変えた

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

  3. Apple開発のためのフック：プロジェクトを救うパターン

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

  4. Xcode 27がエージェント化した

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

  5. Foundation Modelsエージェントワークフロー：アプリ内 vs ツールLLM

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

  6. Foundation Models オンデバイス LLM：Tool プロトコル

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

  7. iOS 27のFoundation Models：ツール呼び出しの制御

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