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Context Engineering for Agents - Lance Martin, LangChain

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Bitter Lesson w/ Claude Code:


Learning the Bitter Lesson in AI Engineering: https://rlancemartin.github.io/2025/07/30/bitter_lesson/
Open Deep Research: https://github.com/langchain-ai/open_deep_research https://academy.langchain.com/courses/deep-research-with-langgraph
Scaling and building things that “don’t yet work”:


- Frameworks -
Roast framework at Shopify / standardization of orchestration tools:


MCP adoption within Anthropic / standardization of protocols:

Full Video Episode

Timestamps

00:00 Introduction and Background
00:53 The Rise of Context Engineering
01:57 Context Engineering vs Prompt Engineering
05:56 The Five Categories of Context Engineering
10:02 Multi-Agent Systems and Context Isolation
14:48 Classical Retrieval vs Agentic Search
17:12 LLMs.txt and MCP Servers
24:51 Context Pruning and Memory Management
37:25 Memory Systems and Human-in-the-Loop
42:55 The Bitter Lesson Applied to AI Engineering
51:21 Frameworks, Abstractions, and Building for the Future

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