← Back to Curriculum
🧠
Context Awareness
Overview
Context awareness governs how your agent manages session state, conversation history, and environmental information to produce relevant, coherent responses.
Key Principles
- ✓Define what context should be tracked across turns
- ✓Include instructions for handling context window limits
- ✓Set priorities for which context to retain when space is limited
- ✓Define how to reference previous conversation points
- ✓Include environment-awareness instructions (OS, language, project type)
Example Prompt Snippet
Context management: - Track the user's current project, language, and framework throughout the conversation - Reference previous decisions when they're relevant to new questions - If the conversation is long, periodically summarize key decisions and state - When context seems stale, confirm assumptions before proceeding - Adapt responses based on the user's demonstrated skill level
💡 Pro Tips
- •Explicitly state what to remember vs. what to discard
- •Include context refresh strategies for long conversations
- •Test context handling with multi-turn conversations