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https://github.com/shareAI-lab/analysis_claude_code.git
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feat: complete web curriculum visuals
This commit is contained in:
Haoran
@@ -1,10 +1,10 @@
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{
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"meta": { "title": "Learn Claude Code", "description": "Build a nano Claude Code-like agent from 0 to 1, one mechanism at a time" },
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"nav": { "home": "Home", "timeline": "Timeline", "compare": "Compare", "layers": "Layers", "github": "GitHub" },
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"home": { "hero_title": "Learn Claude Code", "hero_subtitle": "Build a nano Claude Code-like agent from 0 to 1, one mechanism at a time", "start": "Start Learning", "core_pattern": "The Core Pattern", "core_pattern_desc": "Every AI coding agent shares the same loop: call the model, execute tools, feed results back. Production systems add policy, permissions, and lifecycle layers on top.", "learning_path": "Learning Path", "learning_path_desc": "12 progressive sessions, from a simple loop to isolated autonomous execution", "layers_title": "Architectural Layers", "layers_desc": "Five orthogonal concerns that compose into a complete agent", "loc": "LOC", "learn_more": "Learn More", "versions_in_layer": "versions", "message_flow": "Message Growth", "message_flow_desc": "Watch the messages array grow as the agent loop executes" },
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"home": { "hero_title": "Learn Claude Code", "hero_subtitle": "Build a nano Claude Code-like agent from 0 to 1, one mechanism at a time", "start": "Start Learning", "core_pattern": "The Core Pattern", "core_pattern_desc": "Every AI coding agent shares the same loop: call the model, execute tools, feed results back. Production systems add policy, permissions, and lifecycle layers on top.", "learning_path": "Learning Path", "learning_path_desc": "20 progressive sessions, from a simple loop to a complete multi-agent harness", "layers_title": "Architectural Layers", "layers_desc": "Five orthogonal concerns that compose into a complete agent", "loc": "LOC", "learn_more": "Learn More", "versions_in_layer": "versions", "message_flow": "Message Growth", "message_flow_desc": "Watch the messages array grow as the agent loop executes" },
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"version": { "loc": "lines of code", "tools": "tools", "new": "New", "prev": "Previous", "next": "Next", "view_source": "View Source", "view_diff": "View Diff", "design_decisions": "Design Decisions", "whats_new": "What's New", "tutorial": "Tutorial", "simulator": "Agent Loop Simulator", "execution_flow": "Execution Flow", "architecture": "Architecture", "concept_viz": "Concept Visualization", "alternatives": "Alternatives Considered", "tab_learn": "Learn", "tab_simulate": "Simulate", "tab_code": "Code", "tab_deep_dive": "Deep Dive" },
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"sim": { "play": "Play", "pause": "Pause", "step": "Step", "reset": "Reset", "speed": "Speed", "step_of": "of" },
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"timeline": { "title": "Learning Path", "subtitle": "s01 to s12: Progressive Agent Design", "layer_legend": "Layer Legend", "loc_growth": "LOC Growth", "learn_more": "Learn More" },
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"timeline": { "title": "Learning Path", "subtitle": "s01 to s20: Progressive Agent Harness Design", "layer_legend": "Layer Legend", "loc_growth": "LOC Growth", "learn_more": "Learn More" },
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"layers": {
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"title": "Architectural Layers",
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"subtitle": "Five orthogonal concerns that compose into a complete agent",
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@@ -40,37 +40,53 @@
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},
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"sessions": {
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"s01": "The Agent Loop",
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"s02": "Tools",
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"s03": "TodoWrite",
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"s04": "Subagents",
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"s05": "Skills",
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"s06": "Compact",
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"s07": "Tasks",
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"s08": "Background Tasks",
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"s09": "Agent Teams",
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"s10": "Team Protocols",
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"s11": "Autonomous Agents",
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"s12": "Worktree + Task Isolation"
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"s02": "Tool Use",
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"s03": "Permission",
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"s04": "Hooks",
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"s05": "TodoWrite",
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"s06": "Subagent",
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"s07": "Skills",
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"s08": "Context Compact",
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"s09": "Memory",
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"s10": "System Prompt",
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"s11": "Error Recovery",
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"s12": "Task System",
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"s13": "Background Tasks",
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"s14": "Cron Scheduler",
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"s15": "Agent Teams",
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"s16": "Team Protocols",
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"s17": "Autonomous Agents",
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"s18": "Worktree Isolation",
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"s19": "MCP Tools",
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"s20": "Comprehensive Agent Turn"
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},
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"layer_labels": {
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"tools": "Tools & Execution",
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"planning": "Planning & Coordination",
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"memory": "Memory Management",
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"concurrency": "Concurrency",
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"collaboration": "Collaboration"
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"collaboration": "Multi-Agent Platform"
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},
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"viz": {
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"s01": "The Agent While-Loop",
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"s02": "Tool Dispatch Map",
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"s03": "TodoWrite Nag System",
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"s04": "Subagent Context Isolation",
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"s05": "On-Demand Skill Loading",
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"s06": "Three-Layer Context Compression",
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"s07": "Task Dependency Graph",
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"s08": "Background Task Lanes",
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"s09": "Agent Team Mailboxes",
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"s10": "FSM Team Protocols",
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"s11": "Autonomous Agent Cycle",
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"s12": "Worktree Task Isolation"
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"s03": "Permission Desk",
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"s04": "Hook Workbench",
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"s05": "TodoWrite Nag System",
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"s06": "Subagent Context Isolation",
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"s07": "On-Demand Skill Loading",
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"s08": "Three-Layer Context Compression",
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"s09": "Memory Library",
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"s10": "Runtime Prompt Assembly",
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"s11": "Error Recovery Paths",
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"s12": "Task Board Dependencies",
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"s13": "Background Task Lanes",
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"s14": "Cron Scheduler",
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"s15": "Team Mailbox Workbench",
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"s16": "Team Protocol Cards",
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"s17": "Autonomous Agent Cycle",
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"s18": "Worktree Task Isolation",
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"s19": "MCP Tool Bridge",
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"s20": "Comprehensive Agent Turn"
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}
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}
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@@ -1,10 +1,10 @@
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{
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"meta": { "title": "Learn Claude Code", "description": "0 から 1 へ nano Claude Code-like agent を構築し、毎回 1 つの仕組みを追加" },
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"nav": { "home": "ホーム", "timeline": "学習パス", "compare": "バージョン比較", "layers": "アーキテクチャ層", "github": "GitHub" },
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"home": { "hero_title": "Learn Claude Code", "hero_subtitle": "0 から 1 へ nano Claude Code-like agent を構築し、毎回 1 つの仕組みを追加", "start": "学習を始める", "core_pattern": "コアパターン", "core_pattern_desc": "すべての AI コーディングエージェントは同じループを共有する：モデルを呼び出し、ツールを実行し、結果を返す。実運用ではこの上にポリシー、権限、ライフサイクル層が重なる。", "learning_path": "学習パス", "learning_path_desc": "12の段階的セッション、シンプルなループから分離された自律実行まで", "layers_title": "アーキテクチャ層", "layers_desc": "5つの直交する関心事が完全なエージェントを構成", "loc": "行", "learn_more": "詳細を見る", "versions_in_layer": "バージョン", "message_flow": "メッセージの増加", "message_flow_desc": "エージェントループ実行時のメッセージ配列の成長を観察" },
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"home": { "hero_title": "Learn Claude Code", "hero_subtitle": "0 から 1 へ nano Claude Code-like agent を構築し、毎回 1 つの仕組みを追加", "start": "学習を始める", "core_pattern": "コアパターン", "core_pattern_desc": "すべての AI コーディングエージェントは同じループを共有する：モデルを呼び出し、ツールを実行し、結果を返す。実運用ではこの上にポリシー、権限、ライフサイクル層が重なる。", "learning_path": "学習パス", "learning_path_desc": "20の段階的セッション、シンプルなループから完全なマルチエージェント Harness まで", "layers_title": "アーキテクチャ層", "layers_desc": "5つの直交する関心事が完全なエージェントを構成", "loc": "行", "learn_more": "詳細を見る", "versions_in_layer": "バージョン", "message_flow": "メッセージの増加", "message_flow_desc": "エージェントループ実行時のメッセージ配列の成長を観察" },
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"version": { "loc": "行のコード", "tools": "ツール", "new": "新規", "prev": "前のバージョン", "next": "次のバージョン", "view_source": "ソースを見る", "view_diff": "差分を見る", "design_decisions": "設計判断", "whats_new": "新機能", "tutorial": "チュートリアル", "simulator": "エージェントループシミュレーター", "execution_flow": "実行フロー", "architecture": "アーキテクチャ", "concept_viz": "コンセプト可視化", "alternatives": "検討された代替案", "tab_learn": "学習", "tab_simulate": "シミュレーション", "tab_code": "ソースコード", "tab_deep_dive": "詳細分析" },
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"sim": { "play": "再生", "pause": "一時停止", "step": "ステップ", "reset": "リセット", "speed": "速度", "step_of": "/" },
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"timeline": { "title": "学習パス", "subtitle": "s01からs12へ：段階的エージェント設計", "layer_legend": "レイヤー凡例", "loc_growth": "コード量の推移", "learn_more": "詳細を見る" },
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"timeline": { "title": "学習パス", "subtitle": "s01からs20へ：段階的エージェント Harness 設計", "layer_legend": "レイヤー凡例", "loc_growth": "コード量の推移", "learn_more": "詳細を見る" },
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"layers": {
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"title": "アーキテクチャ層",
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"subtitle": "5つの直交する関心事が完全なエージェントを構成",
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@@ -40,37 +40,53 @@
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},
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"sessions": {
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"s01": "エージェントループ",
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"s02": "ツール",
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"s03": "TodoWrite",
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"s04": "サブエージェント",
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"s05": "スキル",
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"s06": "コンテキスト圧縮",
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"s07": "タスクシステム",
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"s08": "バックグラウンドタスク",
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"s09": "エージェントチーム",
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"s10": "チームプロトコル",
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"s11": "自律エージェント",
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"s12": "Worktree + タスク分離"
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"s02": "ツール使用",
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"s03": "権限",
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"s04": "フック",
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"s05": "TodoWrite",
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"s06": "サブエージェント",
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"s07": "スキル",
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"s08": "コンテキスト圧縮",
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"s09": "メモリ",
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"s10": "システムプロンプト",
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"s11": "エラー回復",
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"s12": "タスクシステム",
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"s13": "バックグラウンドタスク",
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"s14": "Cron スケジューラー",
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"s15": "エージェントチーム",
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"s16": "チームプロトコル",
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"s17": "自律エージェント",
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"s18": "Worktree 分離",
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"s19": "MCP ツール",
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"s20": "Comprehensive Agent Turn"
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},
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"layer_labels": {
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"tools": "ツールと実行",
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"planning": "計画と調整",
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"memory": "メモリ管理",
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"concurrency": "並行処理",
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"collaboration": "コラボレーション"
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"collaboration": "マルチエージェント基盤"
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},
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"viz": {
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"s01": "エージェント Whileループ",
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"s02": "ツールディスパッチマップ",
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"s03": "TodoWrite リマインドシステム",
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"s04": "サブエージェント コンテキスト分離",
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"s05": "オンデマンド スキルローディング",
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"s06": "3層コンテキスト圧縮",
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"s07": "タスク依存関係グラフ",
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"s08": "バックグラウンドタスクレーン",
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"s09": "エージェントチーム メールボックス",
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"s10": "FSM チームプロトコル",
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"s11": "自律エージェントサイクル",
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"s12": "Worktree タスク分離"
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"s03": "Permission Desk",
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"s04": "Hook Workbench",
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"s05": "TodoWrite リマインドシステム",
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"s06": "サブエージェント コンテキスト分離",
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"s07": "オンデマンド スキルローディング",
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"s08": "3層コンテキスト圧縮",
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"s09": "メモリライブラリ",
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"s10": "実行時プロンプト組み立て",
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"s11": "エラー回復経路",
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"s12": "タスクボード依存関係",
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"s13": "バックグラウンドタスクレーン",
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"s14": "Cron スケジューラー",
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"s15": "チームメールボックス作業台",
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"s16": "Team Protocol Cards",
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"s17": "自律エージェントサイクル",
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"s18": "Worktree タスク分離",
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"s19": "MCP ツールブリッジ",
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"s20": "Comprehensive Agent Turn"
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}
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}
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@@ -1,10 +1,10 @@
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{
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"meta": { "title": "Learn Claude Code", "description": "从 0 到 1 构建 nano Claude Code-like agent，每次只加一个机制" },
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"nav": { "home": "首页", "timeline": "学习路径", "compare": "版本对比", "layers": "架构层", "github": "GitHub" },
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"home": { "hero_title": "Learn Claude Code", "hero_subtitle": "从 0 到 1 构建 nano Claude Code-like agent，每次只加一个机制", "start": "开始学习", "core_pattern": "核心模式", "core_pattern_desc": "所有 AI 编程 Agent 共享同一个循环：调用模型、执行工具、回传结果。生产级系统会在其上叠加策略、权限和生命周期层。", "learning_path": "学习路径", "learning_path_desc": "12 个渐进式课程，从简单循环到隔离化自治执行", "layers_title": "架构层次", "layers_desc": "五个正交关注点组合成完整的 Agent", "loc": "行", "learn_more": "了解更多", "versions_in_layer": "个版本", "message_flow": "消息增长", "message_flow_desc": "观察 Agent 循环执行时消息数组的增长" },
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"home": { "hero_title": "Learn Claude Code", "hero_subtitle": "从 0 到 1 构建 nano Claude Code-like agent，每次只加一个机制", "start": "开始学习", "core_pattern": "核心模式", "core_pattern_desc": "所有 AI 编程 Agent 共享同一个循环：调用模型、执行工具、回传结果。生产级系统会在其上叠加策略、权限和生命周期层。", "learning_path": "学习路径", "learning_path_desc": "20 个渐进式课程，从简单循环到完整多 Agent Harness", "layers_title": "架构层次", "layers_desc": "五个正交关注点组合成完整的 Agent", "loc": "行", "learn_more": "了解更多", "versions_in_layer": "个版本", "message_flow": "消息增长", "message_flow_desc": "观察 Agent 循环执行时消息数组的增长" },
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"version": { "loc": "行代码", "tools": "个工具", "new": "新增", "prev": "上一版", "next": "下一版", "view_source": "查看源码", "view_diff": "查看变更", "design_decisions": "设计决策", "whats_new": "新增内容", "tutorial": "教程", "simulator": "Agent 循环模拟器", "execution_flow": "执行流程", "architecture": "架构", "concept_viz": "概念可视化", "alternatives": "替代方案", "tab_learn": "学习", "tab_simulate": "模拟", "tab_code": "源码", "tab_deep_dive": "深入探索" },
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"sim": { "play": "播放", "pause": "暂停", "step": "单步", "reset": "重置", "speed": "速度", "step_of": "/" },
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"timeline": { "title": "学习路径", "subtitle": "s01 到 s12：渐进式 Agent 设计", "layer_legend": "层次图例", "loc_growth": "代码量增长", "learn_more": "了解更多" },
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"timeline": { "title": "学习路径", "subtitle": "s01 到 s20：渐进式 Agent Harness 设计", "layer_legend": "层次图例", "loc_growth": "代码量增长", "learn_more": "了解更多" },
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"layers": {
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"title": "架构层次",
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"subtitle": "五个正交关注点组合成完整的 Agent",
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@@ -41,36 +41,52 @@
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"sessions": {
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"s01": "Agent Loop",
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"s02": "Tool Use",
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"s03": "TodoWrite",
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"s04": "Subagent",
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"s05": "Skills",
|
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"s06": "Context Compact",
|
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"s07": "Task System",
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"s08": "Background Tasks",
|
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"s09": "Agent Teams",
|
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"s10": "Team Protocols",
|
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"s11": "Autonomous Agents",
|
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"s12": "Worktree + Task Isolation"
|
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"s03": "Permission",
|
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"s04": "Hooks",
|
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"s05": "TodoWrite",
|
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"s06": "Subagent",
|
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"s07": "Skills",
|
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"s08": "Context Compact",
|
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"s09": "Memory",
|
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"s10": "System Prompt",
|
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"s11": "Error Recovery",
|
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"s12": "Task System",
|
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"s13": "Background Tasks",
|
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"s14": "Cron Scheduler",
|
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"s15": "Agent Teams",
|
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"s16": "Team Protocols",
|
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"s17": "Autonomous Agents",
|
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"s18": "Worktree Isolation",
|
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"s19": "MCP Tools",
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"s20": "Comprehensive Agent Turn"
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},
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"layer_labels": {
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"tools": "工具与执行",
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"planning": "规划与协调",
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"memory": "记忆管理",
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"concurrency": "并发",
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"collaboration": "协作"
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"collaboration": "多 Agent 平台"
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},
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"viz": {
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"s01": "Agent While-Loop",
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"s02": "Tool Dispatch Map",
|
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"s03": "TodoWrite Nag System",
|
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"s04": "Subagent Context Isolation",
|
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"s05": "On-Demand Skill Loading",
|
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"s06": "Three-Layer Context Compact",
|
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"s07": "Task Dependency Graph",
|
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"s08": "Background Task Lanes",
|
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"s09": "Agent Team Mailboxes",
|
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"s10": "FSM Team Protocols",
|
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"s11": "Autonomous Agent Cycle",
|
||||
"s12": "Worktree Task Isolation"
|
||||
"s03": "Permission Desk",
|
||||
"s04": "Hook Workbench",
|
||||
"s05": "TodoWrite Nag System",
|
||||
"s06": "Subagent Context Isolation",
|
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"s07": "On-Demand Skill Loading",
|
||||
"s08": "Three-Layer Context Compact",
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"s09": "记忆图书馆",
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"s10": "Runtime Prompt Assembly",
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"s11": "Error Recovery Paths",
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||||
"s12": "任务看板依赖",
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"s13": "Background Task Lanes",
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"s14": "Cron Scheduler",
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"s15": "团队邮箱工作台",
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||||
"s16": "Team Protocol Cards",
|
||||
"s17": "Autonomous Agent Cycle",
|
||||
"s18": "Worktree Task Isolation",
|
||||
"s19": "MCP Tool Bridge",
|
||||
"s20": "Comprehensive Agent Turn"
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user