AI · 1h ago
Context Engineering Emerges as Key AI Discipline Beyond Prompting
Context engineering, managing an AI's working memory, is gaining traction as models lose focus after ~100k tokens. Developers use it to optimize latency, cost, and control in agent workflows. The field was coined at the AI Engineer World's Fair and is seen as a practical alternative to waiting for better models.
Meridian48 take
The hype around context engineering reflects developers' desire for control over black-box models, but its long-term value may shrink as models improve memory handling.
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