Context Engineering 2.0
✨步子哥 (steper) •
2025年11月28日 04:00
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<title>Context Engineering 2.0: The Context of Context Engineering</title>
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<div class="poster">
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<div class="shape shape-1"></div>
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<div class="content">
<header class="header">
<h1 class="title">Context Engineering 2.0</h1>
<h2 class="subtitle">The Context of Context Engineering</h2>
<p class="definition">从上下文感知到上下文协作的30年演进 — Context Engineering是一个熵减少过程，旨在弥合人类与机器之间的认知鸿沟</p>
</header>
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<div class="card">
<h3 class="section-title">
<span class="material-icons">history</span>
30年演进历程
</h3>
<div class="timeline">
<div class="timeline-item">
<span class="timeline-year">1994年：</span>Bill Schilit首次提出"context-aware computing"概念
</div>
<div class="timeline-item">
<span class="timeline-year">2000年：</span>Anind Dey团队开发Context Toolkit框架
</div>
<div class="timeline-item">
<span class="timeline-year">2001年：</span>Anind Dey给出至今仍被广泛引用的定义
</div>
<div class="timeline-item">
<span class="timeline-year">Era 1.0：</span>上下文感知（Context-Aware）- 机器像婴儿，只能吃米糊（结构化数据）
</div>
<div class="timeline-item">
<span class="timeline-year">Era 2.0：</span>上下文协作（Context-Cooperative）- 机器像成年人，可以直接吃牛排（原始信息）
</div>
</div>
</div>
<div class="card">
<h3 class="section-title">
<span class="material-icons">psychology</span>
认知鸿沟（Cognitive Gap）
</h3>
<p><span class="highlight">认知鸿沟 = 人类的上下文处理能力 - 机器的上下文处理能力</span></p>
<p>Context Engineering通过收集、管理和使用上下文信息，将高熵的人类意图和环境状态，预处理为机器可理解的低熵表示。</p>
<div class="formula">
Context Engineering = <span class="formula-highlight">熵减少过程</span>
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<div class="section">
<h3 class="section-title">
<span class="material-icons">architecture</span>
Context Engineering系统化框架
</h3>
<div class="formula">
Context Engineering = <span class="formula-highlight">Collection</span> × <span class="formula-highlight">Management</span> × <span class="formula-highlight">Usage</span>
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<div class="card-container">
<div class="card">
<h4 class="comparison-title">Collection（收集）</h4>
<p>如何收集上下文（从单一传感器到多模态融合）</p>
<ul>
<li>感知升级：从单一传感器到多模态融合</li>
<li>环境感知：位置、身份、活动等</li>
</ul>
</div>
<div class="card">
<h4 class="comparison-title">Management（管理）</h4>
<p>如何管理上下文</p>
<ul>
<li>分层记忆架构：短期记忆与长期记忆</li>
<li>子代理隔离上下文：Claude Code创建子代理执行独立任务</li>
<li>轻量引用：不把大文件塞进上下文，而是存到外部，只放"指针"</li>
</ul>
</div>
<div class="card">
<h4 class="comparison-title">Usage（使用）</h4>
<p>如何使用上下文</p>
<ul>
<li>从「被动响应」到「主动协作」</li>
<li>高熵上下文消费能力提升：从「只吃精加工食品」到「能消化原材料」</li>
</ul>
</div>
</div>
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<div class="card-container">
<div class="card">
<h3 class="section-title">
<span class="material-icons">compare_arrows</span>
从感知到协作的飞跃
</h3>
<div class="comparison">
<div class="comparison-column">
<div class="comparison-title">Era 1.0</div>
<div class="comparison-item">
<span class="material-icons">arrow_right</span>
<span>被动响应</span>
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<div class="comparison-item">
<span class="material-icons">arrow_right</span>
<span>只能处理结构化数据</span>
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<div class="comparison-item">
<span class="material-icons">arrow_right</span>
<span>单一传感器</span>
</div>
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<div class="comparison-column">
<div class="comparison-title">Era 2.0</div>
<div class="comparison-item">
<span class="material-icons">arrow_right</span>
<span>主动协作</span>
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<div class="comparison-item">
<span class="material-icons">arrow_right</span>
<span>能处理原始信息</span>
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<div class="comparison-item">
<span class="material-icons">arrow_right</span>
<span>多模态融合</span>
</div>
</div>
</div>
<div class="example">
Era 2.0系统是协作式的：你在写论文→系统分析你的写作进度→发现你卡在第三章→主动建议："要不要我帮你梳理一下逻辑？"→你同意→它生成大纲→你修改→它根据反馈调整
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<div class="card">
<h3 class="section-title">
<span class="material-icons">auto_awesome</span>
Self-Baking：从量变到质变
</h3>
<p>Self-Baking的本质是把「存储」和「学习」分开</p>
<div class="self-baking-comparison">
<div class="self-baking-item">
<div class="self-baking-title">没有Self-Baking</div>
<p>AI只会回忆（"你上次说了什么？"）</p>
</div>
<div class="self-baking-item">
<div class="self-baking-title">有了Self-Baking</div>
<p>AI可以积累知识（"我知道你喜欢什么"）</p>
</div>
</div>
<div class="conclusion">
这是从「工具」到「伙伴」的分水岭，上下文工程需要从量变到质变，核心总结应融合到模型参数里
</div>
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<div class="resources">
<h3 class="resource-title">相关资源</h3>
<div class="resource-links">
<a href="https://github.com/GAIR-NLP/Context-Engineering-2.0" class="resource-link">
<span class="material-icons">code</span>
GitHub
</a>
<a href="https://arxiv.org/pdf/2510.26493" class="resource-link">
<span class="material-icons">description</span>
PDF
</a>
<a href="https://pan.quark.cn/s/52ad1ae833a7" class="resource-link">
<span class="material-icons">slideshow</span>
PPT
</a>
</div>
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