mirror of
https://github.com/shareAI-lab/analysis_claude_code.git
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97 lines
4.8 KiB
JSON
97 lines
4.8 KiB
JSON
{
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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": "22 个渐进式课程，从简单循环到确定性编排与目标闭环", "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 s22：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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"tools": "Agent 能做什么。基础层：工具赋予模型与外部世界交互的能力。",
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"planning": "如何组织工作。从简单的待办列表到跨 Agent 共享的依赖感知任务板。",
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"memory": "在上下文限制内保持记忆。压缩策略让 Agent 可以无限工作而不失去连贯性。",
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"concurrency": "非阻塞执行。后台线程和通知总线实现并行工作。",
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"collaboration": "多 Agent 协作。团队、消息传递和能独立思考的自主队友。"
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},
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"compare": {
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"title": "版本对比",
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"subtitle": "查看任意两个版本之间的变化",
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"select_a": "版本 A",
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"select_b": "版本 B",
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"loc_delta": "代码量差异",
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"lines": "行",
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"new_tools_in_b": "B 中新增工具",
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"new_classes_in_b": "B 中新增类",
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"new_functions_in_b": "B 中新增函数",
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"tool_comparison": "工具对比",
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"only_in": "仅在",
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"shared": "共有",
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"none": "无",
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"source_diff": "源码差异",
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"empty_hint": "请在上方选择两个版本进行对比。",
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"architecture": "架构"
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},
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"diff": {
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"new_classes": "新增类",
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"new_tools": "新增工具",
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"new_functions": "新增函数",
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"loc_delta": "代码量差异"
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},
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"sessions": {
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"s01": "Agent Loop",
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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": "Context Assembly",
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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：运行时实验",
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"s16": "Agent Teams：协议实验",
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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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"s21": "Workflow Runtime",
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"s22": "Goal Loop"
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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": "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": "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 Compact",
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"s09": "记忆图书馆",
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"s10": "运行时上下文组装",
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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": "Agent Teams 运行时实验",
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"s16": "Agent Teams 协议实验",
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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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"s21": "Workflow Runtime",
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"s22": "目标完成闸门"
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}
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}
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