Context Window Mastery
The context window is your workspace. Learn to use every square inch of it.
What You'll Learn
- What the context window is and why it has limits
- How to prioritize what goes in (and what stays out)
- Compression techniques for fitting more signal in less space
- Long-context strategies for big documents and codebases
Your Context Window Is Not Infinite
Every AI model has a context window — the total amount of text it can "see" at once (your prompt + its response). Claude's can handle up to 200K tokens, GPT-4 up to 128K. That sounds like a lot, but it fills fast when you're working with documents, code, or long conversations.
More importantly: just because a model can see 200K tokens doesn't mean it pays equal attention to all of them. Information at the beginning and end of the context gets more attention than the middle. This is called the "lost in the middle" effect, and it matters for how you structure your prompts.
Front-Load What Matters
Put your most important instructions and context at the very beginning of your prompt. Critical rules, key constraints, and the primary task should come first. Supporting details, reference material, and nice-to-haves go later.
Good Structure
1. System instructions (who you are, critical rules)
2. The specific task (what to do right now)
3. Key constraints (must-haves and must-nots)
4. Reference material (supporting context)
5. Examples (if needed)
6. The actual input to process
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