What is context stuffing and when should I use it?

Paste relevant documentation, examples, or reference material directly into your prompt before asking questions. AI models work best with explicit context rather than relying on training data that may be outdated or incomplete.

When to use this

When working with niche libraries, internal codebases, or recent APIs not in training data.

When to skip this

For well-known topics where the model's training data is sufficient and accurate.

Moderate
Source: Blog →
Extracted: 2024-01-15