“If I had an hour to solve a problem, I’d spend 55 minutes defining the problem and 5 minutes solving it.” — Albert Einstein
Context Engineering
Context engineering strategies for AI agents: write, select, compress, and isolate context to optimize performance and manage long-running tasks.
Context Engineering | Meetup
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step" - Andrej KarpathyLearn about tools, frameworks, and code that is in service of context engineering from practitioners in this space.Dive into the set of strategies fo
Effective context engineering for AI agents
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Problem Framing
Explore a problem space and formulate a robust problem statement to ensure you’re solving the right problem. Time: 45+minutes Group Size: 2+ people Level: Intermediate
Luke Wroblewski on Twitter / X
If context engineering is the new hotness for engineering, context management is the new UI hotness/challenge for designers. pic.twitter.com/iXNTYnVRIi— Luke Wroblewski (@LukeW) July 10, 2025
Context Constitution
Today we are releasing the Context Constitution: a set of principles governing how AI agents manage context to learn from experience.
Context Engineering for AI Agents: Lessons from Building Manus
This post shares the local optima Manus arrived at through our own "SGD". If you're building your own AI agent, we hope these principles help you converge faster.
Model Leaderboard | Letta
Context-Bench measures an agent's ability to perform context engineering with:
Context Engineering Guide – Nextra
A Comprehensive Overview of Prompt Engineering
Claude Skills vs. MCP: A Technical Comparison for AI Workflows | IntuitionLabs
Learn the key differences between Anthropic's Claude Skills and the Model Context Protocol (MCP). This guide explains their architecture and use cases.
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
Who’s the Admin, Me or Claude?
Credit: Museums Victoria / Unsplash There’s a lot of conversation right now about “context engineering” for dev work; structuring what you feed an LLM so it can do useful things. …
"RAG is Dead, Context Engineering is King" — with Jeff Huber of Chroma
What actually matters in vector databases in 2025, why “modern search for AI” is different, and how to ship systems that don’t rot as context grows.
