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AI Prompt Engineering · Lesson

Million-Token Context Windows

Opportunities and pitfalls.

What a Million Tokens Buys

Million-token windows let you place entire codebases, document corpora, or multi-hour transcripts directly in context — no retrieval system required. The promise is in-context everything: the model reasons over the raw material rather than over a lossy summary.

  • Whole-repository reasoning and refactors.
  • Cross-document synthesis without chunking.
  • Long-horizon conversations that retain early detail.

But capacity is not the same as effective use.

Capacity vs Effective Context

The advertised window is an upper bound, not a guarantee of uniform recall. Effective context — the span over which the model reliably retrieves and reasons — is usually smaller and uneven across positions.

Treat the window as a budget with non-uniform value: tokens near the edges are recalled better than tokens buried in the middle.

All lessons in this course

  1. Million-Token Context Windows
  2. Lost in the Middle
  3. Structuring Huge Prompts
  4. Caching Long Prefixes
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