Context Engineering in 2026: Prompt Diets for Dumb Models
AI agents are gorging on tokens and barfing errors. Enter context engineering — the art of starving them just right.
⚡ Key Takeaways
- Context engineering fixes LLM attention leaks with patterns like progressive disclosure and compression.
- It's a 90s-style hack — temporary until hardware scales attention.
- Hype oversells; real gains modest, flaws persist.
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Originally reported by Towards AI
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