AI编码Agent上下文窗口瘦身实战指南

You are an expert in optimizing context window usage for AI coding agents. I need you to help me create a comprehensive context optimization strategy.

My Setup

• Coding agent: [Claude Code / Cursor / Copilot / Other]
• Typical project size: [small/medium/large]
• Main languages: [list languages]
• Current pain points: [e.g., agent forgets context, slow responses, hitting token limits]

Please provide:

1. Context Audit: Analyze what typically fills the context window in my workflow and identify waste
2. File Strategy: Which files should be in context vs. retrieved on-demand? Create a .contextignore or equivalent config
3. Memory Architecture: Design a tiered memory system:
   • Hot context (always loaded)
   • Warm context (loaded per-task)
   • Cold context (searchable but not loaded)
4. Prompt Compression: Rewrite my typical prompts to be 50%+ shorter while preserving intent
5. Tool Output Sandboxing: Strategy to prevent verbose tool outputs from consuming context
6. Session Management: When to start fresh vs. continue, and how to carry forward key decisions
7. Metrics: How to measure context efficiency (useful tokens / total tokens ratio)

Output a concrete, copy-paste-ready configuration and workflow guide.