Streamlining Documentation with Language Models and MCP Servers

Lance: https://www.linkedin.com/in/lance-martin-64a33b5/

How Context Fails: https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
How New Buzzwords Get Created: https://www.dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html
Content Engineering: https://x.com/RLanceMartin/status/1948441848978309358 https://rlancemartin.github.io/2025/06/23/context_engineering/ https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing
Manus Post: https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus
Cognition Post: https://cognition.ai/blog/dont-build-multi-agents
Multi-Agent Researcher: https://www.anthropic.com/engineering/multi-agent-research-system
Human-in-the-loop + Memory: https://github.com/langchain-ai/agents-from-scratch
- Bitter Lesson in AI Engineering -
Hyung Won Chung on the Bitter Lesson in AI Research: https://www.youtube.com/watch?v=orDKvo8h71o
Bitter Lesson w/ Claude Code: https://www.youtube.com/watch?v=Lue8K2jqfKk&t=1s
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": https://www.youtube.com/watch?v=p8Jx4qvDoSo
- Frameworks -
Roast framework at Shopify / standardization of orchestration tools: https://www.youtube.com/watch?v=0NHCyq8bBcM
MCP adoption within Anthropic / standardization of protocols: https://www.youtube.com/watch?v=xlEQ6Y3WNNI
How to think about frameworks: https://blog.langchain.com/how-to-think-about-agent-frameworks/
RAG benchmarking: https://rlancemartin.github.io/2025/04/03/vibe-code/
Simon's talk with memory-gone-wrong: https://simonwillison.net/2025/Jun/6/six-months-in-llms/