The New Skill in AI Is Not Prompting, It's Context Engineering
10 months ago
- #AI
- #Context Engineering
- #LLM
- Context Engineering is emerging as a crucial skill in AI, surpassing prompt engineering in importance.
- Tobi Lutke defines Context Engineering as providing all necessary context for an LLM to solve a task effectively.
- Agent performance is increasingly determined by the quality of context provided, not just the model's capabilities.
- Context includes system prompts, user prompts, conversation history, long-term memory, retrieved information, available tools, and structured output.
- Effective AI agents rely on rich context to transform basic responses into 'magical' interactions.
- Context Engineering involves designing dynamic systems that deliver the right information and tools at the right time.
- The format and presentation of information are critical in Context Engineering.
- Building reliable AI agents now focuses more on context engineering than on model updates or prompts.