mapJanuary 1, 2026
Context Engineering for AI Systems
Techniques for providing AI agents and LLMs with optimized context
This map connects strategies for structuring information effectively for AI systems - whether Claude Code, GitHub Copilot, or custom agents.
VS Code & Copilot
- context-engineering-guide-vscode - Optimizing context for GitHub Copilot in VS Code
Agent Configuration
- writing-a-good-claude-md - Configuring Claude Code with effective project context
Agent Architecture
- 12-factor-agents - Principles for building context-aware production agents
- advanced-context-engineering-for-coding-agents - Research-Plan-Implement workflow for complex codebases
Linked References (11)
- Advanced Context Engineering for Coding Agents
- Andrej Karpathy — We're summoning ghosts, not building animals
- Context Engineering for AI Agents with LangChain and Manus
- How I Use LLMs
- No Vibes Allowed: Solving Hard Problems in Complex Codebases
- Ralph Guide
- Ralph Wiggum (and why Claude Code's implementation isn't it)
- The Ralph Wiggum Loop from First Principles
- The Ralph Wiggum Technique: Running Claude Code in a Loop
- The Context Window Problem
- Understanding Claude Code's Full Stack: MCP, Skills, Subagents, and Hooks Explained