Context Engineering
Prompts · MCP · Agent ContextThe emerging discipline of designing what an LLM sees — prompt, tools, MCP, memory, retrieved data — so agents can complete long-horizon tasks reliably.
About this vault
Context engineering is how AI engineers build agents that actually work. This vault curates 20 canonical pieces spanning three axes: (1) the Model Context Protocol — specification, Anthropic's announcement, Thoughtworks' impact analysis; (2) the discipline itself — Harrison Chase's 'rise of context engineering', LangChain's scratchpad/memory patterns, Philipp Schmid's breakdown; (3) practitioner voices — Simon Willison, Andrej Karpathy, and the Sequoia podcast with Harrison Chase on long-horizon agents. The organizing thesis: prompt engineering gets you a clever reply; context engineering gets you a reliable agent. Curated 2026-04 as the term crystallized from Twitter meme into engineering practice.
20 articles
Prompt engineering — Simon Willison's weblog (topic index)
Context Engineering
Karpathy coins \"vibe coding\" (tweet that framed agentic context work)
Harrison Chase on the rise of context engineering (X thread)
Model Context Protocol Specification
Context engineering
The rise of \"context engineering\"
Agent Engineering: Harness Patterns, IMPACT Framework & Coding Agent Architecture
Harrison Chase: What is context engineering? (LinkedIn post)
Effective Context Engineering for AI Agents
Introducing the Model Context Protocol
Power to the people: How LLMs flip the script on technology diffusion
Context Engineering for Agents
Context Engineering Our Way to Long-Horizon Agents (Sequoia podcast with Harrison Chase)
Agentic Harness Engineering: LLMs as the New OS
Harrison Chase: \"Context Engineering in 2025\" — even the smartest human needs context (X)
The Model Context Protocol's impact on 2025
The Rise of Context Engineering: Building the Foundation for Next-Generation AI Agents
MCP + Context: engineering for the context — hard lessons learned
What Is Context Engineering? A Guide for AI & LLMs
Start reading, not hoarding.
Import this vault to Burn 451 and actually read what matters.
New to Burn? See how the read-later app works →
Frequently asked questions
Who is Context Engineering?
Context Engineering is covered in this Burn 451 vault with a focus on prompts · mcp · agent context. The emerging discipline of designing what an LLM sees — prompt, tools, MCP, memory, retrieved data — so agents can complete long-horizon tasks reliably.
How was the Context Engineering vault curated?
The Context Engineering vault was hand-curated by the Burn 451 editorial team from publicly available essays, blog posts, podcast transcripts, and social threads. Each piece includes an AI-generated summary so readers can triage in seconds. The vault auto-syncs as new content from Context Engineering is published.
How many articles are in the Context Engineering vault?
The Context Engineering vault currently contains 20 curated pieces organized by topic, not chronology. Each article has an AI summary and a direct link to the original source. Items are refreshed hourly through Burn 451's ISR pipeline, so new publications appear within a day.
How do I use this vault with Claude or Cursor?
Install the burn-mcp-server package from npm and connect it to Claude, Cursor, or any MCP-compatible AI tool. The vault becomes queryable as live context — your AI can search, summarize, and cite articles from Context Engineering directly in conversation without manual copy-paste or re-uploading files.
What is Burn 451?
Burn 451 is a read-later app built around a 24-hour burn timer that forces daily triage. Articles you save must be read, vaulted, or released within 24 hours. The Vault layer — including this Context Engineering collection — holds permanent curated reading lists for AI thought leaders, founders, and researchers.
Content attributed to original authors. Burn 451 curates publicly available writing as a reading index. For removal requests, contact @hawking520.